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      "metadata": {
        "id": "view-in-github",
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        "<a href=\"https://colab.research.google.com/github/harshatejas/pytorch_custom_object_detection/blob/main/Training.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "code",
      "metadata": {
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        },
        "outputId": "55b27b26-2f78-4cea-cb72-a07c7526b972"
      },
      "source": [
        "!git clone https://github.com/harshatejas/pytorch_custom_object_detection.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'pytorch_custom_object_detection'...\n",
            "remote: Enumerating objects: 417, done.\u001b[K\n",
            "remote: Counting objects: 100% (417/417), done.\u001b[K\n",
            "remote: Compressing objects: 100% (414/414), done.\u001b[K\n",
            "remote: Total 417 (delta 15), reused 375 (delta 3), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (417/417), 36.42 MiB | 20.47 MiB/s, done.\n",
            "Resolving deltas: 100% (15/15), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PefevnVDXPFw",
        "outputId": "dfa32de8-3001-4789-deb3-a9528494f2b4"
      },
      "source": [
        "%cd /content/pytorch_custom_object_detection"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/pytorch_custom_object_detection\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dW2onzHuXF2-"
      },
      "source": [
        "# Imports\n",
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import cv2\n",
        "\n",
        "import torch\n",
        "import torchvision\n",
        "from torchvision.models.detection.faster_rcnn import FastRCNNPredictor\n",
        "\n",
        "from engine import train_one_epoch, evaluate\n",
        "import utils\n",
        "import transforms as T"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5eRJbdSCXMAc"
      },
      "source": [
        "# Hyperparameters\n",
        "test_set_length = 40 \t\t # Test set (number of images)\n",
        "train_batch_size = 2  \t\t # Train batch size\n",
        "test_batch_size = 1    \t\t # Test batch size\n",
        "num_classes = 6        \t\t # Number of classes\n",
        "learning_rate = 0.005  \t\t # Learning rate\n",
        "num_epochs = 40      \t     # Number of epochs\n",
        "output_dir = \"saved_model\"   # Output directory to save the model"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qq4RUifxXbP5"
      },
      "source": [
        "# Helper functions \n",
        "def create_label_txt(path_to_csv):\n",
        "\n",
        "\tdata = pd.read_csv(path_to_csv)\n",
        "\tlabels = data['class'].unique()\n",
        "\n",
        "\tlabels_dict = {}\n",
        "\n",
        "\t# Creat dictionary from array\n",
        "\tfor index, label in enumerate(labels):\n",
        "\t\tlabels_dict.__setitem__(index, label)\n",
        "\n",
        "\t# We need to create labels.txt and write labels dictionary into it\n",
        "\twith open('labels.txt', 'w') as f:\n",
        "\t\tf.write(str(labels_dict))\n",
        "\n",
        "\treturn labels_dict\t\n",
        "\n",
        "def parse_one_annot(path, filename, labels_dict):\n",
        "\n",
        "\tdata = pd.read_csv(path)\n",
        "\n",
        "\tclass_names = data['class'].unique()\n",
        "\tclasses_df = data[data[\"filename\"] == filename][\"class\"]\n",
        "\tclasses_array = classes_df.to_numpy()\n",
        "\t\n",
        "\tboxes_df = data[data[\"filename\"] == filename][[\"xmin\", \"ymin\", \"xmax\", \"ymax\"]]\n",
        "\tboxes_array = boxes_df.to_numpy()\n",
        "\t\n",
        "\tclasses = []\n",
        "\tfor key, value in labels_dict.items():\n",
        "\t\tfor i in classes_array:\n",
        "\t\t\tif i == value:\n",
        "\t\t\t\tclasses.append(key)\n",
        "\n",
        "\t# Convert list to tuple\n",
        "\tclasses = tuple(classes)\n",
        "\n",
        "\treturn boxes_array, classes\n",
        "\n",
        "def get_model(num_classes):\n",
        "\n",
        "\t# Load an pre-trained object detectin model (in this case faster-rcnn)\n",
        "\tmodel = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained = True)\n",
        "\n",
        "\t# Number of input features\n",
        "\tin_features = model.roi_heads.box_predictor.cls_score.in_features\n",
        "\n",
        "\t# Replace the pre-trained head with a new head\n",
        "\tmodel.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes)\n",
        "\n",
        "\treturn model\n",
        "\n",
        "\n",
        "def get_transforms(train):\n",
        "\n",
        "\ttransforms = []\n",
        "\n",
        "\t# Convert numpy image to PyTorch Tensor\n",
        "\ttransforms.append(T.ToTensor())\n",
        "\n",
        "\tif train:\n",
        "\t\t# Data augmentation\n",
        "\t\ttransforms.append(T.RandomHorizontalFlip(0.5))\n",
        "\n",
        "\treturn T.Compose(transforms) "
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jCP5U5TiXqCh"
      },
      "source": [
        "class CardsDataset(torch.utils.data.Dataset):\n",
        "\n",
        "\t\"\"\" The dataset contains images of playing cards \n",
        "\t\tThe dataset includes images of king, queen, jack, ten, nine and ace playing cards\"\"\"\n",
        "\n",
        "\tdef __init__(self, dataset_dir, csv_file, labels_dict, transforms = None):\n",
        "\n",
        "\t\tself.dataset_dir = dataset_dir\n",
        "\t\tself.csv_file = csv_file\n",
        "\t\tself.transforms = transforms\n",
        "\t\tself.labels_dict = labels_dict\n",
        "\t\tself.image_names = [file for file in sorted(os.listdir(os.path.join(dataset_dir))) if file.endswith('.jpg') or file.endswith('.JPG')]\n",
        "\n",
        "\tdef __getitem__(self, index):\n",
        "\n",
        "\t\timage_path = os.path.join(self.dataset_dir, self.image_names[index])\n",
        "\t\timage = cv2.imread(image_path)\n",
        "\t\t# Convert BGR to RGB\n",
        "\t\timage = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
        "\n",
        "\t\tbox_array, classes = parse_one_annot(self.csv_file, self.image_names[index], self.labels_dict)\n",
        "\t\tboxes = torch.as_tensor(box_array, dtype = torch.float32)\n",
        "\n",
        "\t\tlabels = torch.tensor(classes, dtype=torch.int64)\n",
        "\t\t\n",
        "\t\timage_id = torch.tensor([index])\n",
        "\t\tarea = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])\n",
        "\n",
        "\t\tiscrowd = torch.tensor(classes, dtype=torch.int64)\n",
        "\t\ttarget = {}\n",
        "\t\ttarget[\"boxes\"] = boxes\n",
        "\t\ttarget[\"labels\"] = labels\n",
        "\t\ttarget[\"image_id\"] = image_id\n",
        "\t\ttarget[\"area\"] = area\n",
        "\t\ttarget[\"iscrowd\"] = iscrowd\n",
        "\n",
        "\t\tif self.transforms is not None:\n",
        "\t\t\timage, target = self.transforms(image, target)\n",
        "\n",
        "\t\treturn image, target\n",
        "\n",
        "\tdef __len__(self):\n",
        "\n",
        "\t\treturn len(self.image_names)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qAdrwUO4Xs0j",
        "outputId": "0beedec2-c48b-4d08-ca2d-c7714f9035cb"
      },
      "source": [
        "# Setting up the device\n",
        "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")\n",
        "\n",
        "labels_dict = create_label_txt(\"cards_dataset/train_labels.csv\")\n",
        "\n",
        "# Define train and test dataset\n",
        "dataset = CardsDataset(dataset_dir = \"cards_dataset/train/\", csv_file = \"cards_dataset/train_labels.csv\",\n",
        "                        labels_dict = labels_dict, transforms = get_transforms(train = True))\n",
        "\n",
        "dataset_test = CardsDataset(dataset_dir = \"cards_dataset/train/\", csv_file = \"cards_dataset/train_labels.csv\", \n",
        "                        labels_dict = labels_dict, transforms = get_transforms(train = False))\n",
        "\n",
        "# Split the dataset into train and test\n",
        "torch.manual_seed(1)\n",
        "indices = torch.randperm(len(dataset)).tolist()\n",
        "dataset = torch.utils.data.Subset(dataset, indices[:-test_set_length])\n",
        "dataset_test = torch.utils.data.Subset(dataset_test, indices[-test_set_length:])\n",
        "\n",
        "# Define train and test dataloaders\n",
        "data_loader = torch.utils.data.DataLoader(dataset, batch_size = train_batch_size, shuffle = True,\n",
        "                num_workers = 2, collate_fn = utils.collate_fn)\n",
        "\n",
        "data_loader_test = torch.utils.data.DataLoader(dataset_test, batch_size = test_batch_size, shuffle = False,\n",
        "                num_workers = 2, collate_fn = utils.collate_fn)\n",
        "\n",
        "print(f\"We have: {len(indices)} images in the dataset, {len(dataset)} are training images and {len(dataset_test)} are test images\")"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "We have: 358 images in the dataset, 318 are training images and 40 are test images\n"
          ],
          "name": "stdout"
        }
      ]
    },
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      "source": [
        "# Get the model using helper function\n",
        "model = get_model(num_classes)\n",
        "model.to(device = device)\n",
        "\n",
        "# Construct the optimizer\n",
        "params = [p for p in model.parameters() if p.requires_grad]\n",
        "optimizer = torch.optim.SGD(params, lr = learning_rate, momentum = 0.9, weight_decay = 0.0005)\n",
        "\n",
        "# Learning rate scheduler decreases the learning rate by 10x every 3 epochs\n",
        "lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size = 3, gamma = 0.1)\n",
        "\n",
        "for epoch in range(num_epochs):\n",
        "    \n",
        "    train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq = 10)\n",
        "    lr_scheduler.step()\n",
        "    # Evaluate on the test dataset\n",
        "    evaluate(model, data_loader_test, device = device)\n",
        "\n",
        "if not os.path.exists(output_dir):\n",
        "    os.mkdir(output_dir)\n",
        "\n",
        "# Save the model state\t\n",
        "torch.save(model.state_dict(), output_dir + \"/model\")"
      ],
      "execution_count": 8,
      "outputs": [
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          "text": [
            "\n",
            "Epoch: [0]  [  0/159]  eta: 0:03:05  lr: 0.000037  loss: 2.0135 (2.0135)  loss_classifier: 1.6735 (1.6735)  loss_box_reg: 0.3385 (0.3385)  loss_objectness: 0.0004 (0.0004)  loss_rpn_box_reg: 0.0011 (0.0011)  time: 1.1664  data: 0.2763  max mem: 3392\n",
            "Epoch: [0]  [ 10/159]  eta: 0:01:04  lr: 0.000353  loss: 1.6322 (1.4553)  loss_classifier: 1.4057 (1.1858)  loss_box_reg: 0.2458 (0.2622)  loss_objectness: 0.0020 (0.0035)  loss_rpn_box_reg: 0.0036 (0.0038)  time: 0.4361  data: 0.0332  max mem: 3659\n",
            "Epoch: [0]  [ 20/159]  eta: 0:00:54  lr: 0.000669  loss: 0.7879 (1.0224)  loss_classifier: 0.4115 (0.7685)  loss_box_reg: 0.1901 (0.2444)  loss_objectness: 0.0039 (0.0063)  loss_rpn_box_reg: 0.0026 (0.0032)  time: 0.3534  data: 0.0095  max mem: 3659\n",
            "Epoch: [0]  [ 30/159]  eta: 0:00:50  lr: 0.000985  loss: 0.4299 (0.8575)  loss_classifier: 0.2581 (0.6045)  loss_box_reg: 0.1901 (0.2433)  loss_objectness: 0.0069 (0.0068)  loss_rpn_box_reg: 0.0018 (0.0029)  time: 0.3683  data: 0.0103  max mem: 3659\n",
            "Epoch: [0]  [ 40/159]  eta: 0:00:45  lr: 0.001301  loss: 0.3587 (0.7541)  loss_classifier: 0.1546 (0.5009)  loss_box_reg: 0.2001 (0.2442)  loss_objectness: 0.0026 (0.0060)  loss_rpn_box_reg: 0.0020 (0.0030)  time: 0.3696  data: 0.0106  max mem: 3659\n",
            "Epoch: [0]  [ 50/159]  eta: 0:00:41  lr: 0.001617  loss: 0.3587 (0.6896)  loss_classifier: 0.1546 (0.4374)  loss_box_reg: 0.2064 (0.2433)  loss_objectness: 0.0026 (0.0059)  loss_rpn_box_reg: 0.0019 (0.0030)  time: 0.3525  data: 0.0103  max mem: 3659\n",
            "Epoch: [0]  [ 60/159]  eta: 0:00:37  lr: 0.001933  loss: 0.3377 (0.6419)  loss_classifier: 0.1367 (0.3925)  loss_box_reg: 0.2019 (0.2410)  loss_objectness: 0.0016 (0.0054)  loss_rpn_box_reg: 0.0017 (0.0030)  time: 0.3679  data: 0.0106  max mem: 3659\n",
            "Epoch: [0]  [ 70/159]  eta: 0:00:33  lr: 0.002250  loss: 0.3358 (0.6071)  loss_classifier: 0.1367 (0.3607)  loss_box_reg: 0.1793 (0.2385)  loss_objectness: 0.0009 (0.0051)  loss_rpn_box_reg: 0.0019 (0.0029)  time: 0.3711  data: 0.0113  max mem: 3659\n",
            "Epoch: [0]  [ 80/159]  eta: 0:00:29  lr: 0.002566  loss: 0.3220 (0.5772)  loss_classifier: 0.1441 (0.3363)  loss_box_reg: 0.1793 (0.2336)  loss_objectness: 0.0005 (0.0046)  loss_rpn_box_reg: 0.0018 (0.0027)  time: 0.3536  data: 0.0105  max mem: 3659\n",
            "Epoch: [0]  [ 90/159]  eta: 0:00:25  lr: 0.002882  loss: 0.3220 (0.5511)  loss_classifier: 0.1472 (0.3167)  loss_box_reg: 0.1710 (0.2272)  loss_objectness: 0.0002 (0.0045)  loss_rpn_box_reg: 0.0019 (0.0027)  time: 0.3810  data: 0.0100  max mem: 3659\n",
            "Epoch: [0]  [100/159]  eta: 0:00:22  lr: 0.003198  loss: 0.3023 (0.5276)  loss_classifier: 0.1370 (0.3015)  loss_box_reg: 0.1625 (0.2191)  loss_objectness: 0.0011 (0.0042)  loss_rpn_box_reg: 0.0023 (0.0028)  time: 0.3887  data: 0.0105  max mem: 3659\n",
            "Epoch: [0]  [110/159]  eta: 0:00:18  lr: 0.003514  loss: 0.3042 (0.5091)  loss_classifier: 0.1633 (0.2909)  loss_box_reg: 0.1285 (0.2116)  loss_objectness: 0.0001 (0.0039)  loss_rpn_box_reg: 0.0023 (0.0027)  time: 0.3584  data: 0.0106  max mem: 3659\n",
            "Epoch: [0]  [120/159]  eta: 0:00:14  lr: 0.003830  loss: 0.2056 (0.4848)  loss_classifier: 0.1191 (0.2777)  loss_box_reg: 0.0801 (0.2007)  loss_objectness: 0.0001 (0.0037)  loss_rpn_box_reg: 0.0019 (0.0027)  time: 0.3440  data: 0.0109  max mem: 3659\n",
            "Epoch: [0]  [130/159]  eta: 0:00:10  lr: 0.004146  loss: 0.2056 (0.4695)  loss_classifier: 0.1202 (0.2692)  loss_box_reg: 0.0801 (0.1940)  loss_objectness: 0.0008 (0.0035)  loss_rpn_box_reg: 0.0029 (0.0027)  time: 0.3377  data: 0.0112  max mem: 3659\n",
            "Epoch: [0]  [140/159]  eta: 0:00:07  lr: 0.004463  loss: 0.2461 (0.4545)  loss_classifier: 0.1364 (0.2608)  loss_box_reg: 0.1055 (0.1876)  loss_objectness: 0.0001 (0.0033)  loss_rpn_box_reg: 0.0019 (0.0027)  time: 0.3648  data: 0.0108  max mem: 3659\n",
            "Epoch: [0]  [150/159]  eta: 0:00:03  lr: 0.004779  loss: 0.2112 (0.4460)  loss_classifier: 0.1315 (0.2570)  loss_box_reg: 0.1040 (0.1832)  loss_objectness: 0.0001 (0.0031)  loss_rpn_box_reg: 0.0016 (0.0027)  time: 0.3700  data: 0.0099  max mem: 3659\n",
            "Epoch: [0]  [158/159]  eta: 0:00:00  lr: 0.005000  loss: 0.2461 (0.4364)  loss_classifier: 0.1364 (0.2523)  loss_box_reg: 0.0789 (0.1783)  loss_objectness: 0.0001 (0.0031)  loss_rpn_box_reg: 0.0016 (0.0026)  time: 0.3788  data: 0.0090  max mem: 3659\n",
            "Epoch: [0] Total time: 0:00:58 (0.3702 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0945 (0.0945)  evaluator_time: 0.0052 (0.0052)  time: 0.2201  data: 0.1184  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0734 (0.0756)  evaluator_time: 0.0023 (0.0030)  time: 0.0830  data: 0.0046  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0882 s / it)\n",
            "Averaged stats: model_time: 0.0734 (0.0756)  evaluator_time: 0.0023 (0.0030)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [1]  [  0/159]  eta: 0:01:49  lr: 0.005000  loss: 0.4339 (0.4339)  loss_classifier: 0.2907 (0.2907)  loss_box_reg: 0.1393 (0.1393)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0039 (0.0039)  time: 0.6861  data: 0.2954  max mem: 3659\n",
            "Epoch: [1]  [ 10/159]  eta: 0:00:57  lr: 0.005000  loss: 0.2173 (0.2168)  loss_classifier: 0.1396 (0.1403)  loss_box_reg: 0.0683 (0.0731)  loss_objectness: 0.0003 (0.0009)  loss_rpn_box_reg: 0.0017 (0.0025)  time: 0.3880  data: 0.0336  max mem: 3659\n",
            "Epoch: [1]  [ 20/159]  eta: 0:00:50  lr: 0.005000  loss: 0.2151 (0.2362)  loss_classifier: 0.1335 (0.1429)  loss_box_reg: 0.0698 (0.0899)  loss_objectness: 0.0004 (0.0010)  loss_rpn_box_reg: 0.0020 (0.0025)  time: 0.3495  data: 0.0082  max mem: 3659\n",
            "Epoch: [1]  [ 30/159]  eta: 0:00:47  lr: 0.005000  loss: 0.2641 (0.2462)  loss_classifier: 0.1467 (0.1538)  loss_box_reg: 0.0827 (0.0893)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0021 (0.0024)  time: 0.3575  data: 0.0097  max mem: 3659\n",
            "Epoch: [1]  [ 40/159]  eta: 0:00:43  lr: 0.005000  loss: 0.2219 (0.2281)  loss_classifier: 0.1332 (0.1453)  loss_box_reg: 0.0644 (0.0798)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0021 (0.0024)  time: 0.3687  data: 0.0103  max mem: 3659\n",
            "Epoch: [1]  [ 50/159]  eta: 0:00:40  lr: 0.005000  loss: 0.1568 (0.2208)  loss_classifier: 0.1101 (0.1407)  loss_box_reg: 0.0443 (0.0772)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0014 (0.0023)  time: 0.3702  data: 0.0101  max mem: 3659\n",
            "Epoch: [1]  [ 60/159]  eta: 0:00:36  lr: 0.005000  loss: 0.1529 (0.2164)  loss_classifier: 0.1038 (0.1398)  loss_box_reg: 0.0449 (0.0738)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0014 (0.0022)  time: 0.3748  data: 0.0099  max mem: 3659\n",
            "Epoch: [1]  [ 70/159]  eta: 0:00:32  lr: 0.005000  loss: 0.1424 (0.2157)  loss_classifier: 0.0972 (0.1392)  loss_box_reg: 0.0481 (0.0738)  loss_objectness: 0.0002 (0.0006)  loss_rpn_box_reg: 0.0018 (0.0021)  time: 0.3503  data: 0.0095  max mem: 3659\n",
            "Epoch: [1]  [ 80/159]  eta: 0:00:28  lr: 0.005000  loss: 0.1347 (0.2128)  loss_classifier: 0.0893 (0.1373)  loss_box_reg: 0.0546 (0.0729)  loss_objectness: 0.0003 (0.0007)  loss_rpn_box_reg: 0.0011 (0.0020)  time: 0.3510  data: 0.0094  max mem: 3659\n",
            "Epoch: [1]  [ 90/159]  eta: 0:00:25  lr: 0.005000  loss: 0.1666 (0.2161)  loss_classifier: 0.0980 (0.1409)  loss_box_reg: 0.0627 (0.0726)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0009 (0.0019)  time: 0.3815  data: 0.0098  max mem: 3659\n",
            "Epoch: [1]  [100/159]  eta: 0:00:21  lr: 0.005000  loss: 0.2295 (0.2207)  loss_classifier: 0.1631 (0.1448)  loss_box_reg: 0.0636 (0.0729)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0013 (0.0021)  time: 0.3739  data: 0.0099  max mem: 3659\n",
            "Epoch: [1]  [110/159]  eta: 0:00:17  lr: 0.005000  loss: 0.2161 (0.2205)  loss_classifier: 0.1612 (0.1451)  loss_box_reg: 0.0570 (0.0726)  loss_objectness: 0.0003 (0.0009)  loss_rpn_box_reg: 0.0016 (0.0020)  time: 0.3590  data: 0.0102  max mem: 3659\n",
            "Epoch: [1]  [120/159]  eta: 0:00:14  lr: 0.005000  loss: 0.1807 (0.2166)  loss_classifier: 0.1305 (0.1432)  loss_box_reg: 0.0436 (0.0706)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0012 (0.0019)  time: 0.3679  data: 0.0109  max mem: 3659\n",
            "Epoch: [1]  [130/159]  eta: 0:00:10  lr: 0.005000  loss: 0.1807 (0.2140)  loss_classifier: 0.1192 (0.1422)  loss_box_reg: 0.0422 (0.0690)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0009 (0.0019)  time: 0.3755  data: 0.0112  max mem: 3659\n",
            "Epoch: [1]  [140/159]  eta: 0:00:07  lr: 0.005000  loss: 0.1898 (0.2127)  loss_classifier: 0.1192 (0.1420)  loss_box_reg: 0.0506 (0.0679)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0010 (0.0019)  time: 0.3893  data: 0.0110  max mem: 3659\n",
            "Epoch: [1]  [150/159]  eta: 0:00:03  lr: 0.005000  loss: 0.1353 (0.2099)  loss_classifier: 0.0927 (0.1405)  loss_box_reg: 0.0431 (0.0666)  loss_objectness: 0.0000 (0.0008)  loss_rpn_box_reg: 0.0013 (0.0019)  time: 0.4048  data: 0.0108  max mem: 3659\n",
            "Epoch: [1]  [158/159]  eta: 0:00:00  lr: 0.005000  loss: 0.1353 (0.2077)  loss_classifier: 0.0882 (0.1393)  loss_box_reg: 0.0436 (0.0656)  loss_objectness: 0.0000 (0.0008)  loss_rpn_box_reg: 0.0017 (0.0019)  time: 0.3962  data: 0.0103  max mem: 3659\n",
            "Epoch: [1] Total time: 0:00:59 (0.3724 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0840 (0.0840)  evaluator_time: 0.0038 (0.0038)  time: 0.2155  data: 0.1261  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0756)  evaluator_time: 0.0022 (0.0049)  time: 0.0878  data: 0.0047  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0905 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0756)  evaluator_time: 0.0022 (0.0049)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [2]  [  0/159]  eta: 0:01:50  lr: 0.005000  loss: 0.2220 (0.2220)  loss_classifier: 0.1628 (0.1628)  loss_box_reg: 0.0567 (0.0567)  loss_objectness: 0.0003 (0.0003)  loss_rpn_box_reg: 0.0022 (0.0022)  time: 0.6958  data: 0.2026  max mem: 3659\n",
            "Epoch: [2]  [ 10/159]  eta: 0:01:00  lr: 0.005000  loss: 0.1647 (0.1845)  loss_classifier: 0.1059 (0.1300)  loss_box_reg: 0.0479 (0.0523)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0016 (0.0020)  time: 0.4027  data: 0.0273  max mem: 3659\n",
            "Epoch: [2]  [ 20/159]  eta: 0:00:55  lr: 0.005000  loss: 0.1201 (0.1715)  loss_classifier: 0.1018 (0.1222)  loss_box_reg: 0.0343 (0.0471)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0011 (0.0016)  time: 0.3809  data: 0.0096  max mem: 3659\n",
            "Epoch: [2]  [ 30/159]  eta: 0:00:49  lr: 0.005000  loss: 0.1347 (0.1755)  loss_classifier: 0.1072 (0.1266)  loss_box_reg: 0.0325 (0.0466)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0011 (0.0015)  time: 0.3725  data: 0.0092  max mem: 3659\n",
            "Epoch: [2]  [ 40/159]  eta: 0:00:45  lr: 0.005000  loss: 0.1311 (0.1626)  loss_classifier: 0.0971 (0.1172)  loss_box_reg: 0.0300 (0.0430)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0011 (0.0014)  time: 0.3640  data: 0.0091  max mem: 3659\n",
            "Epoch: [2]  [ 50/159]  eta: 0:00:41  lr: 0.005000  loss: 0.0991 (0.1588)  loss_classifier: 0.0792 (0.1164)  loss_box_reg: 0.0242 (0.0404)  loss_objectness: 0.0000 (0.0008)  loss_rpn_box_reg: 0.0006 (0.0013)  time: 0.3729  data: 0.0096  max mem: 3659\n",
            "Epoch: [2]  [ 60/159]  eta: 0:00:37  lr: 0.005000  loss: 0.0992 (0.1553)  loss_classifier: 0.0715 (0.1142)  loss_box_reg: 0.0253 (0.0393)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0005 (0.0012)  time: 0.3654  data: 0.0098  max mem: 3659\n",
            "Epoch: [2]  [ 70/159]  eta: 0:00:32  lr: 0.005000  loss: 0.1034 (0.1523)  loss_classifier: 0.0770 (0.1113)  loss_box_reg: 0.0274 (0.0392)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0007 (0.0011)  time: 0.3489  data: 0.0094  max mem: 3659\n",
            "Epoch: [2]  [ 80/159]  eta: 0:00:29  lr: 0.005000  loss: 0.1240 (0.1602)  loss_classifier: 0.0918 (0.1168)  loss_box_reg: 0.0392 (0.0415)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0010 (0.0012)  time: 0.3730  data: 0.0094  max mem: 3659\n",
            "Epoch: [2]  [ 90/159]  eta: 0:00:25  lr: 0.005000  loss: 0.1953 (0.1653)  loss_classifier: 0.1436 (0.1202)  loss_box_reg: 0.0471 (0.0431)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0013 (0.0012)  time: 0.3815  data: 0.0098  max mem: 3659\n",
            "Epoch: [2]  [100/159]  eta: 0:00:21  lr: 0.005000  loss: 0.1292 (0.1632)  loss_classifier: 0.0910 (0.1179)  loss_box_reg: 0.0393 (0.0431)  loss_objectness: 0.0003 (0.0010)  loss_rpn_box_reg: 0.0013 (0.0012)  time: 0.3590  data: 0.0104  max mem: 3659\n",
            "Epoch: [2]  [110/159]  eta: 0:00:18  lr: 0.005000  loss: 0.1397 (0.1654)  loss_classifier: 0.0935 (0.1202)  loss_box_reg: 0.0391 (0.0430)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0012 (0.0012)  time: 0.3654  data: 0.0099  max mem: 3659\n",
            "Epoch: [2]  [120/159]  eta: 0:00:14  lr: 0.005000  loss: 0.1602 (0.1678)  loss_classifier: 0.1214 (0.1215)  loss_box_reg: 0.0431 (0.0441)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0010 (0.0013)  time: 0.3527  data: 0.0098  max mem: 3659\n",
            "Epoch: [2]  [130/159]  eta: 0:00:10  lr: 0.005000  loss: 0.1594 (0.1686)  loss_classifier: 0.1237 (0.1221)  loss_box_reg: 0.0448 (0.0444)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0009 (0.0013)  time: 0.3609  data: 0.0101  max mem: 3659\n",
            "Epoch: [2]  [140/159]  eta: 0:00:07  lr: 0.005000  loss: 0.1698 (0.1722)  loss_classifier: 0.1237 (0.1250)  loss_box_reg: 0.0448 (0.0451)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0009 (0.0013)  time: 0.3694  data: 0.0098  max mem: 3659\n",
            "Epoch: [2]  [150/159]  eta: 0:00:03  lr: 0.005000  loss: 0.1724 (0.1749)  loss_classifier: 0.1157 (0.1267)  loss_box_reg: 0.0448 (0.0461)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0011 (0.0013)  time: 0.3615  data: 0.0097  max mem: 3659\n",
            "Epoch: [2]  [158/159]  eta: 0:00:00  lr: 0.005000  loss: 0.1304 (0.1734)  loss_classifier: 0.1013 (0.1257)  loss_box_reg: 0.0410 (0.0455)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0011 (0.0013)  time: 0.3636  data: 0.0091  max mem: 3659\n",
            "Epoch: [2] Total time: 0:00:58 (0.3690 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0854 (0.0854)  evaluator_time: 0.0043 (0.0043)  time: 0.2245  data: 0.1333  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0741 (0.0760)  evaluator_time: 0.0024 (0.0029)  time: 0.0843  data: 0.0055  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0899 s / it)\n",
            "Averaged stats: model_time: 0.0741 (0.0760)  evaluator_time: 0.0024 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [3]  [  0/159]  eta: 0:01:52  lr: 0.000500  loss: 0.0833 (0.0833)  loss_classifier: 0.0525 (0.0525)  loss_box_reg: 0.0303 (0.0303)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0003)  time: 0.7105  data: 0.2109  max mem: 3659\n",
            "Epoch: [3]  [ 10/159]  eta: 0:00:54  lr: 0.000500  loss: 0.1070 (0.1446)  loss_classifier: 0.0816 (0.1011)  loss_box_reg: 0.0319 (0.0407)  loss_objectness: 0.0001 (0.0014)  loss_rpn_box_reg: 0.0012 (0.0014)  time: 0.3631  data: 0.0270  max mem: 3659\n",
            "Epoch: [3]  [ 20/159]  eta: 0:00:51  lr: 0.000500  loss: 0.1070 (0.1421)  loss_classifier: 0.0816 (0.1010)  loss_box_reg: 0.0319 (0.0390)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0011 (0.0013)  time: 0.3511  data: 0.0098  max mem: 3659\n",
            "Epoch: [3]  [ 30/159]  eta: 0:00:47  lr: 0.000500  loss: 0.1342 (0.1631)  loss_classifier: 0.1089 (0.1209)  loss_box_reg: 0.0322 (0.0403)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0008 (0.0013)  time: 0.3737  data: 0.0104  max mem: 3659\n",
            "Epoch: [3]  [ 40/159]  eta: 0:00:44  lr: 0.000500  loss: 0.1058 (0.1475)  loss_classifier: 0.0856 (0.1094)  loss_box_reg: 0.0209 (0.0365)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0008 (0.0011)  time: 0.3745  data: 0.0099  max mem: 3659\n",
            "Epoch: [3]  [ 50/159]  eta: 0:00:40  lr: 0.000500  loss: 0.0979 (0.1487)  loss_classifier: 0.0771 (0.1118)  loss_box_reg: 0.0195 (0.0353)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0004 (0.0011)  time: 0.3741  data: 0.0102  max mem: 3659\n",
            "Epoch: [3]  [ 60/159]  eta: 0:00:36  lr: 0.000500  loss: 0.1169 (0.1490)  loss_classifier: 0.0867 (0.1138)  loss_box_reg: 0.0209 (0.0337)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0010)  time: 0.3572  data: 0.0101  max mem: 3659\n",
            "Epoch: [3]  [ 70/159]  eta: 0:00:32  lr: 0.000500  loss: 0.1203 (0.1504)  loss_classifier: 0.0922 (0.1153)  loss_box_reg: 0.0219 (0.0336)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0010)  time: 0.3572  data: 0.0095  max mem: 3659\n",
            "Epoch: [3]  [ 80/159]  eta: 0:00:29  lr: 0.000500  loss: 0.1203 (0.1466)  loss_classifier: 0.0922 (0.1128)  loss_box_reg: 0.0227 (0.0324)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0010)  time: 0.3800  data: 0.0093  max mem: 3659\n",
            "Epoch: [3]  [ 90/159]  eta: 0:00:25  lr: 0.000500  loss: 0.1339 (0.1454)  loss_classifier: 0.1049 (0.1119)  loss_box_reg: 0.0279 (0.0321)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3733  data: 0.0099  max mem: 3659\n",
            "Epoch: [3]  [100/159]  eta: 0:00:21  lr: 0.000500  loss: 0.1153 (0.1438)  loss_classifier: 0.0931 (0.1112)  loss_box_reg: 0.0216 (0.0312)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3825  data: 0.0104  max mem: 3659\n",
            "Epoch: [3]  [110/159]  eta: 0:00:18  lr: 0.000500  loss: 0.1090 (0.1449)  loss_classifier: 0.0931 (0.1126)  loss_box_reg: 0.0216 (0.0310)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0009)  time: 0.3812  data: 0.0103  max mem: 3659\n",
            "Epoch: [3]  [120/159]  eta: 0:00:14  lr: 0.000500  loss: 0.0890 (0.1437)  loss_classifier: 0.0709 (0.1121)  loss_box_reg: 0.0178 (0.0304)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3721  data: 0.0095  max mem: 3659\n",
            "Epoch: [3]  [130/159]  eta: 0:00:10  lr: 0.000500  loss: 0.0983 (0.1427)  loss_classifier: 0.0785 (0.1116)  loss_box_reg: 0.0178 (0.0299)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0009)  time: 0.3884  data: 0.0093  max mem: 3659\n",
            "Epoch: [3]  [140/159]  eta: 0:00:07  lr: 0.000500  loss: 0.1266 (0.1445)  loss_classifier: 0.1004 (0.1127)  loss_box_reg: 0.0245 (0.0306)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3812  data: 0.0098  max mem: 3659\n",
            "Epoch: [3]  [150/159]  eta: 0:00:03  lr: 0.000500  loss: 0.1322 (0.1431)  loss_classifier: 0.1026 (0.1117)  loss_box_reg: 0.0272 (0.0302)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0009)  time: 0.3669  data: 0.0108  max mem: 3659\n",
            "Epoch: [3]  [158/159]  eta: 0:00:00  lr: 0.000500  loss: 0.1213 (0.1433)  loss_classifier: 0.0994 (0.1120)  loss_box_reg: 0.0266 (0.0301)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0008 (0.0009)  time: 0.3698  data: 0.0115  max mem: 3659\n",
            "Epoch: [3] Total time: 0:00:59 (0.3732 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0840 (0.0840)  evaluator_time: 0.0037 (0.0037)  time: 0.2173  data: 0.1280  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0740 (0.0760)  evaluator_time: 0.0022 (0.0028)  time: 0.0842  data: 0.0052  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0893 s / it)\n",
            "Averaged stats: model_time: 0.0740 (0.0760)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [4]  [  0/159]  eta: 0:01:31  lr: 0.000500  loss: 0.0847 (0.0847)  loss_classifier: 0.0659 (0.0659)  loss_box_reg: 0.0182 (0.0182)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.5729  data: 0.2432  max mem: 3659\n",
            "Epoch: [4]  [ 10/159]  eta: 0:00:54  lr: 0.000500  loss: 0.0749 (0.0874)  loss_classifier: 0.0634 (0.0725)  loss_box_reg: 0.0112 (0.0138)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3648  data: 0.0299  max mem: 3659\n",
            "Epoch: [4]  [ 20/159]  eta: 0:00:50  lr: 0.000500  loss: 0.0821 (0.1363)  loss_classifier: 0.0688 (0.1083)  loss_box_reg: 0.0164 (0.0264)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0010 (0.0012)  time: 0.3505  data: 0.0090  max mem: 3659\n",
            "Epoch: [4]  [ 30/159]  eta: 0:00:46  lr: 0.000500  loss: 0.1735 (0.1510)  loss_classifier: 0.1313 (0.1218)  loss_box_reg: 0.0257 (0.0279)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0009 (0.0011)  time: 0.3528  data: 0.0092  max mem: 3659\n",
            "Epoch: [4]  [ 40/159]  eta: 0:00:42  lr: 0.000500  loss: 0.1325 (0.1371)  loss_classifier: 0.1072 (0.1105)  loss_box_reg: 0.0213 (0.0253)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0009)  time: 0.3615  data: 0.0093  max mem: 3659\n",
            "Epoch: [4]  [ 50/159]  eta: 0:00:39  lr: 0.000500  loss: 0.1115 (0.1386)  loss_classifier: 0.0834 (0.1119)  loss_box_reg: 0.0186 (0.0254)  loss_objectness: 0.0002 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0008)  time: 0.3818  data: 0.0097  max mem: 3659\n",
            "Epoch: [4]  [ 60/159]  eta: 0:00:36  lr: 0.000500  loss: 0.1320 (0.1434)  loss_classifier: 0.1112 (0.1154)  loss_box_reg: 0.0243 (0.0267)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3741  data: 0.0096  max mem: 3659\n",
            "Epoch: [4]  [ 70/159]  eta: 0:00:32  lr: 0.000500  loss: 0.1276 (0.1460)  loss_classifier: 0.0869 (0.1171)  loss_box_reg: 0.0242 (0.0277)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3466  data: 0.0096  max mem: 3659\n",
            "Epoch: [4]  [ 80/159]  eta: 0:00:28  lr: 0.000500  loss: 0.1022 (0.1442)  loss_classifier: 0.0690 (0.1151)  loss_box_reg: 0.0220 (0.0278)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3652  data: 0.0107  max mem: 3659\n",
            "Epoch: [4]  [ 90/159]  eta: 0:00:25  lr: 0.000500  loss: 0.1003 (0.1406)  loss_classifier: 0.0754 (0.1121)  loss_box_reg: 0.0198 (0.0273)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3775  data: 0.0107  max mem: 3659\n",
            "Epoch: [4]  [100/159]  eta: 0:00:21  lr: 0.000500  loss: 0.1081 (0.1386)  loss_classifier: 0.0888 (0.1110)  loss_box_reg: 0.0168 (0.0264)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3743  data: 0.0103  max mem: 3659\n",
            "Epoch: [4]  [110/159]  eta: 0:00:17  lr: 0.000500  loss: 0.1144 (0.1395)  loss_classifier: 0.0966 (0.1123)  loss_box_reg: 0.0168 (0.0260)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3666  data: 0.0104  max mem: 3659\n",
            "Epoch: [4]  [120/159]  eta: 0:00:14  lr: 0.000500  loss: 0.0787 (0.1358)  loss_classifier: 0.0641 (0.1093)  loss_box_reg: 0.0208 (0.0254)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3585  data: 0.0102  max mem: 3659\n",
            "Epoch: [4]  [130/159]  eta: 0:00:10  lr: 0.000500  loss: 0.1101 (0.1386)  loss_classifier: 0.0893 (0.1118)  loss_box_reg: 0.0236 (0.0257)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3902  data: 0.0108  max mem: 3659\n",
            "Epoch: [4]  [140/159]  eta: 0:00:07  lr: 0.000500  loss: 0.1487 (0.1376)  loss_classifier: 0.1199 (0.1109)  loss_box_reg: 0.0225 (0.0255)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3979  data: 0.0106  max mem: 3659\n",
            "Epoch: [4]  [150/159]  eta: 0:00:03  lr: 0.000500  loss: 0.0947 (0.1349)  loss_classifier: 0.0720 (0.1089)  loss_box_reg: 0.0200 (0.0249)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3605  data: 0.0099  max mem: 3659\n",
            "Epoch: [4]  [158/159]  eta: 0:00:00  lr: 0.000500  loss: 0.1046 (0.1356)  loss_classifier: 0.0876 (0.1095)  loss_box_reg: 0.0180 (0.0250)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3521  data: 0.0096  max mem: 3659\n",
            "Epoch: [4] Total time: 0:00:58 (0.3690 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0876 (0.0876)  evaluator_time: 0.0036 (0.0036)  time: 0.2204  data: 0.1277  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0759)  evaluator_time: 0.0022 (0.0028)  time: 0.0832  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0890 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0759)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [5]  [  0/159]  eta: 0:01:23  lr: 0.000500  loss: 0.2527 (0.2527)  loss_classifier: 0.1880 (0.1880)  loss_box_reg: 0.0637 (0.0637)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0010 (0.0010)  time: 0.5232  data: 0.1597  max mem: 3659\n",
            "Epoch: [5]  [ 10/159]  eta: 0:00:57  lr: 0.000500  loss: 0.1148 (0.1569)  loss_classifier: 0.0922 (0.1281)  loss_box_reg: 0.0251 (0.0278)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0009 (0.0008)  time: 0.3873  data: 0.0227  max mem: 3659\n",
            "Epoch: [5]  [ 20/159]  eta: 0:00:51  lr: 0.000500  loss: 0.1133 (0.1444)  loss_classifier: 0.0870 (0.1167)  loss_box_reg: 0.0205 (0.0269)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3657  data: 0.0091  max mem: 3659\n",
            "Epoch: [5]  [ 30/159]  eta: 0:00:47  lr: 0.000500  loss: 0.1082 (0.1507)  loss_classifier: 0.0824 (0.1212)  loss_box_reg: 0.0244 (0.0285)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3583  data: 0.0096  max mem: 3659\n",
            "Epoch: [5]  [ 40/159]  eta: 0:00:43  lr: 0.000500  loss: 0.0886 (0.1381)  loss_classifier: 0.0733 (0.1112)  loss_box_reg: 0.0186 (0.0258)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3543  data: 0.0097  max mem: 3659\n",
            "Epoch: [5]  [ 50/159]  eta: 0:00:40  lr: 0.000500  loss: 0.1379 (0.1493)  loss_classifier: 0.1059 (0.1213)  loss_box_reg: 0.0200 (0.0270)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3711  data: 0.0096  max mem: 3659\n",
            "Epoch: [5]  [ 60/159]  eta: 0:00:37  lr: 0.000500  loss: 0.1204 (0.1415)  loss_classifier: 0.0900 (0.1151)  loss_box_reg: 0.0204 (0.0253)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3983  data: 0.0102  max mem: 3659\n",
            "Epoch: [5]  [ 70/159]  eta: 0:00:33  lr: 0.000500  loss: 0.0730 (0.1367)  loss_classifier: 0.0607 (0.1113)  loss_box_reg: 0.0147 (0.0243)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3830  data: 0.0104  max mem: 3659\n",
            "Epoch: [5]  [ 80/159]  eta: 0:00:29  lr: 0.000500  loss: 0.0922 (0.1334)  loss_classifier: 0.0658 (0.1087)  loss_box_reg: 0.0177 (0.0236)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3517  data: 0.0098  max mem: 3659\n",
            "Epoch: [5]  [ 90/159]  eta: 0:00:25  lr: 0.000500  loss: 0.0928 (0.1373)  loss_classifier: 0.0806 (0.1117)  loss_box_reg: 0.0204 (0.0245)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3418  data: 0.0094  max mem: 3659\n",
            "Epoch: [5]  [100/159]  eta: 0:00:21  lr: 0.000500  loss: 0.1300 (0.1369)  loss_classifier: 0.1021 (0.1112)  loss_box_reg: 0.0235 (0.0246)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3430  data: 0.0101  max mem: 3659\n",
            "Epoch: [5]  [110/159]  eta: 0:00:17  lr: 0.000500  loss: 0.1315 (0.1388)  loss_classifier: 0.1053 (0.1127)  loss_box_reg: 0.0237 (0.0250)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3517  data: 0.0109  max mem: 3659\n",
            "Epoch: [5]  [120/159]  eta: 0:00:14  lr: 0.000500  loss: 0.1221 (0.1375)  loss_classifier: 0.0985 (0.1115)  loss_box_reg: 0.0237 (0.0249)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3591  data: 0.0103  max mem: 3659\n",
            "Epoch: [5]  [130/159]  eta: 0:00:10  lr: 0.000500  loss: 0.1144 (0.1379)  loss_classifier: 0.0978 (0.1115)  loss_box_reg: 0.0195 (0.0253)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3656  data: 0.0095  max mem: 3659\n",
            "Epoch: [5]  [140/159]  eta: 0:00:06  lr: 0.000500  loss: 0.1044 (0.1361)  loss_classifier: 0.0819 (0.1100)  loss_box_reg: 0.0191 (0.0251)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3830  data: 0.0099  max mem: 3659\n",
            "Epoch: [5]  [150/159]  eta: 0:00:03  lr: 0.000500  loss: 0.0777 (0.1339)  loss_classifier: 0.0670 (0.1083)  loss_box_reg: 0.0125 (0.0245)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3914  data: 0.0104  max mem: 3659\n",
            "Epoch: [5]  [158/159]  eta: 0:00:00  lr: 0.000500  loss: 0.0708 (0.1323)  loss_classifier: 0.0631 (0.1072)  loss_box_reg: 0.0134 (0.0241)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3880  data: 0.0102  max mem: 3659\n",
            "Epoch: [5] Total time: 0:00:58 (0.3679 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0847 (0.0847)  evaluator_time: 0.0037 (0.0037)  time: 0.2220  data: 0.1320  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0742 (0.0762)  evaluator_time: 0.0023 (0.0028)  time: 0.0844  data: 0.0050  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0898 s / it)\n",
            "Averaged stats: model_time: 0.0742 (0.0762)  evaluator_time: 0.0023 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [6]  [  0/159]  eta: 0:01:22  lr: 0.000050  loss: 0.1720 (0.1720)  loss_classifier: 0.1451 (0.1451)  loss_box_reg: 0.0256 (0.0256)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0011 (0.0011)  time: 0.5170  data: 0.1609  max mem: 3659\n",
            "Epoch: [6]  [ 10/159]  eta: 0:00:55  lr: 0.000050  loss: 0.1466 (0.1445)  loss_classifier: 0.1051 (0.1223)  loss_box_reg: 0.0181 (0.0214)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3743  data: 0.0231  max mem: 3659\n",
            "Epoch: [6]  [ 20/159]  eta: 0:00:51  lr: 0.000050  loss: 0.0721 (0.1175)  loss_classifier: 0.0580 (0.0945)  loss_box_reg: 0.0128 (0.0221)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3667  data: 0.0096  max mem: 3659\n",
            "Epoch: [6]  [ 30/159]  eta: 0:00:48  lr: 0.000050  loss: 0.0639 (0.1204)  loss_classifier: 0.0538 (0.0970)  loss_box_reg: 0.0125 (0.0220)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3729  data: 0.0101  max mem: 3659\n",
            "Epoch: [6]  [ 40/159]  eta: 0:00:44  lr: 0.000050  loss: 0.1248 (0.1367)  loss_classifier: 0.1089 (0.1116)  loss_box_reg: 0.0218 (0.0238)  loss_objectness: 0.0002 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3675  data: 0.0098  max mem: 3659\n",
            "Epoch: [6]  [ 50/159]  eta: 0:00:39  lr: 0.000050  loss: 0.0919 (0.1283)  loss_classifier: 0.0671 (0.1048)  loss_box_reg: 0.0236 (0.0223)  loss_objectness: 0.0002 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3436  data: 0.0091  max mem: 3659\n",
            "Epoch: [6]  [ 60/159]  eta: 0:00:35  lr: 0.000050  loss: 0.0714 (0.1244)  loss_classifier: 0.0586 (0.1022)  loss_box_reg: 0.0093 (0.0211)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3341  data: 0.0094  max mem: 3659\n",
            "Epoch: [6]  [ 70/159]  eta: 0:00:32  lr: 0.000050  loss: 0.0959 (0.1263)  loss_classifier: 0.0887 (0.1039)  loss_box_reg: 0.0139 (0.0213)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3585  data: 0.0099  max mem: 3659\n",
            "Epoch: [6]  [ 80/159]  eta: 0:00:28  lr: 0.000050  loss: 0.0886 (0.1252)  loss_classifier: 0.0787 (0.1029)  loss_box_reg: 0.0182 (0.0212)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3760  data: 0.0099  max mem: 3659\n",
            "Epoch: [6]  [ 90/159]  eta: 0:00:25  lr: 0.000050  loss: 0.0713 (0.1202)  loss_classifier: 0.0594 (0.0984)  loss_box_reg: 0.0152 (0.0206)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3916  data: 0.0102  max mem: 3659\n",
            "Epoch: [6]  [100/159]  eta: 0:00:21  lr: 0.000050  loss: 0.0847 (0.1230)  loss_classifier: 0.0674 (0.1012)  loss_box_reg: 0.0147 (0.0208)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3746  data: 0.0104  max mem: 3659\n",
            "Epoch: [6]  [110/159]  eta: 0:00:17  lr: 0.000050  loss: 0.1224 (0.1220)  loss_classifier: 0.1090 (0.1004)  loss_box_reg: 0.0159 (0.0205)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3611  data: 0.0103  max mem: 3659\n",
            "Epoch: [6]  [120/159]  eta: 0:00:14  lr: 0.000050  loss: 0.0844 (0.1241)  loss_classifier: 0.0674 (0.1028)  loss_box_reg: 0.0159 (0.0203)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.4053  data: 0.0100  max mem: 3659\n",
            "Epoch: [6]  [130/159]  eta: 0:00:10  lr: 0.000050  loss: 0.1057 (0.1249)  loss_classifier: 0.0812 (0.1028)  loss_box_reg: 0.0206 (0.0211)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.4033  data: 0.0097  max mem: 3659\n",
            "Epoch: [6]  [140/159]  eta: 0:00:07  lr: 0.000050  loss: 0.1024 (0.1240)  loss_classifier: 0.0786 (0.1017)  loss_box_reg: 0.0208 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0008 (0.0007)  time: 0.3737  data: 0.0102  max mem: 3659\n",
            "Epoch: [6]  [150/159]  eta: 0:00:03  lr: 0.000050  loss: 0.0937 (0.1230)  loss_classifier: 0.0736 (0.1008)  loss_box_reg: 0.0181 (0.0212)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3661  data: 0.0103  max mem: 3659\n",
            "Epoch: [6]  [158/159]  eta: 0:00:00  lr: 0.000050  loss: 0.1173 (0.1287)  loss_classifier: 0.1002 (0.1055)  loss_box_reg: 0.0232 (0.0222)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3578  data: 0.0095  max mem: 3659\n",
            "Epoch: [6] Total time: 0:00:59 (0.3714 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:09  model_time: 0.0844 (0.0844)  evaluator_time: 0.0038 (0.0038)  time: 0.2263  data: 0.1365  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0738 (0.0760)  evaluator_time: 0.0022 (0.0027)  time: 0.0838  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0891 s / it)\n",
            "Averaged stats: model_time: 0.0738 (0.0760)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [7]  [  0/159]  eta: 0:01:29  lr: 0.000050  loss: 0.0652 (0.0652)  loss_classifier: 0.0494 (0.0494)  loss_box_reg: 0.0156 (0.0156)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.5603  data: 0.1604  max mem: 3659\n",
            "Epoch: [7]  [ 10/159]  eta: 0:01:02  lr: 0.000050  loss: 0.1433 (0.1659)  loss_classifier: 0.1231 (0.1388)  loss_box_reg: 0.0219 (0.0265)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0007 (0.0006)  time: 0.4213  data: 0.0239  max mem: 3659\n",
            "Epoch: [7]  [ 20/159]  eta: 0:00:54  lr: 0.000050  loss: 0.1391 (0.1465)  loss_classifier: 0.1160 (0.1218)  loss_box_reg: 0.0215 (0.0231)  loss_objectness: 0.0000 (0.0009)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3829  data: 0.0098  max mem: 3659\n",
            "Epoch: [7]  [ 30/159]  eta: 0:00:49  lr: 0.000050  loss: 0.1242 (0.1492)  loss_classifier: 0.0950 (0.1231)  loss_box_reg: 0.0215 (0.0246)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3586  data: 0.0097  max mem: 3659\n",
            "Epoch: [7]  [ 40/159]  eta: 0:00:44  lr: 0.000050  loss: 0.0977 (0.1438)  loss_classifier: 0.0782 (0.1191)  loss_box_reg: 0.0207 (0.0233)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3509  data: 0.0101  max mem: 3659\n",
            "Epoch: [7]  [ 50/159]  eta: 0:00:40  lr: 0.000050  loss: 0.1029 (0.1470)  loss_classifier: 0.0790 (0.1217)  loss_box_reg: 0.0161 (0.0240)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3456  data: 0.0098  max mem: 3659\n",
            "Epoch: [7]  [ 60/159]  eta: 0:00:35  lr: 0.000050  loss: 0.1678 (0.1549)  loss_classifier: 0.1355 (0.1282)  loss_box_reg: 0.0269 (0.0255)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3459  data: 0.0101  max mem: 3659\n",
            "Epoch: [7]  [ 70/159]  eta: 0:00:32  lr: 0.000050  loss: 0.1436 (0.1512)  loss_classifier: 0.1155 (0.1247)  loss_box_reg: 0.0234 (0.0252)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3515  data: 0.0109  max mem: 3659\n",
            "Epoch: [7]  [ 80/159]  eta: 0:00:28  lr: 0.000050  loss: 0.0766 (0.1434)  loss_classifier: 0.0659 (0.1183)  loss_box_reg: 0.0128 (0.0238)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3666  data: 0.0107  max mem: 3659\n",
            "Epoch: [7]  [ 90/159]  eta: 0:00:25  lr: 0.000050  loss: 0.0766 (0.1409)  loss_classifier: 0.0580 (0.1165)  loss_box_reg: 0.0124 (0.0231)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3974  data: 0.0109  max mem: 3659\n",
            "Epoch: [7]  [100/159]  eta: 0:00:21  lr: 0.000050  loss: 0.0802 (0.1388)  loss_classifier: 0.0620 (0.1145)  loss_box_reg: 0.0152 (0.0230)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.4061  data: 0.0114  max mem: 3659\n",
            "Epoch: [7]  [110/159]  eta: 0:00:18  lr: 0.000050  loss: 0.0772 (0.1340)  loss_classifier: 0.0548 (0.1104)  loss_box_reg: 0.0145 (0.0224)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3767  data: 0.0109  max mem: 3659\n",
            "Epoch: [7]  [120/159]  eta: 0:00:14  lr: 0.000050  loss: 0.0635 (0.1312)  loss_classifier: 0.0570 (0.1076)  loss_box_reg: 0.0098 (0.0225)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3619  data: 0.0108  max mem: 3659\n",
            "Epoch: [7]  [130/159]  eta: 0:00:10  lr: 0.000050  loss: 0.0808 (0.1288)  loss_classifier: 0.0580 (0.1055)  loss_box_reg: 0.0142 (0.0221)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3696  data: 0.0111  max mem: 3659\n",
            "Epoch: [7]  [140/159]  eta: 0:00:07  lr: 0.000050  loss: 0.0723 (0.1283)  loss_classifier: 0.0593 (0.1050)  loss_box_reg: 0.0131 (0.0221)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3757  data: 0.0104  max mem: 3659\n",
            "Epoch: [7]  [150/159]  eta: 0:00:03  lr: 0.000050  loss: 0.0748 (0.1286)  loss_classifier: 0.0623 (0.1056)  loss_box_reg: 0.0177 (0.0219)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3585  data: 0.0102  max mem: 3659\n",
            "Epoch: [7]  [158/159]  eta: 0:00:00  lr: 0.000050  loss: 0.0935 (0.1298)  loss_classifier: 0.0815 (0.1064)  loss_box_reg: 0.0177 (0.0222)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3659  data: 0.0103  max mem: 3659\n",
            "Epoch: [7] Total time: 0:00:58 (0.3707 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0839 (0.0839)  evaluator_time: 0.0038 (0.0038)  time: 0.2240  data: 0.1349  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0734 (0.0758)  evaluator_time: 0.0021 (0.0027)  time: 0.0830  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0887 s / it)\n",
            "Averaged stats: model_time: 0.0734 (0.0758)  evaluator_time: 0.0021 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [8]  [  0/159]  eta: 0:01:57  lr: 0.000050  loss: 0.1098 (0.1098)  loss_classifier: 0.0919 (0.0919)  loss_box_reg: 0.0176 (0.0176)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.7408  data: 0.2473  max mem: 3659\n",
            "Epoch: [8]  [ 10/159]  eta: 0:01:00  lr: 0.000050  loss: 0.0929 (0.0965)  loss_classifier: 0.0807 (0.0813)  loss_box_reg: 0.0165 (0.0146)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0004)  time: 0.4052  data: 0.0294  max mem: 3659\n",
            "Epoch: [8]  [ 20/159]  eta: 0:00:52  lr: 0.000050  loss: 0.1025 (0.1236)  loss_classifier: 0.0846 (0.0986)  loss_box_reg: 0.0185 (0.0242)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3566  data: 0.0084  max mem: 3659\n",
            "Epoch: [8]  [ 30/159]  eta: 0:00:48  lr: 0.000050  loss: 0.1081 (0.1224)  loss_classifier: 0.0846 (0.0976)  loss_box_reg: 0.0179 (0.0241)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3581  data: 0.0098  max mem: 3659\n",
            "Epoch: [8]  [ 40/159]  eta: 0:00:45  lr: 0.000050  loss: 0.0880 (0.1168)  loss_classifier: 0.0644 (0.0937)  loss_box_reg: 0.0155 (0.0223)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3971  data: 0.0105  max mem: 3659\n",
            "Epoch: [8]  [ 50/159]  eta: 0:00:40  lr: 0.000050  loss: 0.0880 (0.1161)  loss_classifier: 0.0618 (0.0928)  loss_box_reg: 0.0178 (0.0225)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3728  data: 0.0098  max mem: 3659\n",
            "Epoch: [8]  [ 60/159]  eta: 0:00:36  lr: 0.000050  loss: 0.1058 (0.1191)  loss_classifier: 0.0766 (0.0956)  loss_box_reg: 0.0218 (0.0227)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3425  data: 0.0096  max mem: 3659\n",
            "Epoch: [8]  [ 70/159]  eta: 0:00:33  lr: 0.000050  loss: 0.0791 (0.1121)  loss_classifier: 0.0627 (0.0895)  loss_box_reg: 0.0161 (0.0217)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3759  data: 0.0107  max mem: 3659\n",
            "Epoch: [8]  [ 80/159]  eta: 0:00:29  lr: 0.000050  loss: 0.0791 (0.1158)  loss_classifier: 0.0627 (0.0933)  loss_box_reg: 0.0157 (0.0216)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3835  data: 0.0107  max mem: 3659\n",
            "Epoch: [8]  [ 90/159]  eta: 0:00:25  lr: 0.000050  loss: 0.1131 (0.1167)  loss_classifier: 0.1029 (0.0946)  loss_box_reg: 0.0189 (0.0212)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3824  data: 0.0103  max mem: 3659\n",
            "Epoch: [8]  [100/159]  eta: 0:00:22  lr: 0.000050  loss: 0.0930 (0.1224)  loss_classifier: 0.0680 (0.0993)  loss_box_reg: 0.0220 (0.0222)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3823  data: 0.0100  max mem: 3659\n",
            "Epoch: [8]  [110/159]  eta: 0:00:18  lr: 0.000050  loss: 0.1631 (0.1283)  loss_classifier: 0.1267 (0.1051)  loss_box_reg: 0.0243 (0.0223)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3631  data: 0.0099  max mem: 3659\n",
            "Epoch: [8]  [120/159]  eta: 0:00:14  lr: 0.000050  loss: 0.1157 (0.1285)  loss_classifier: 0.0927 (0.1051)  loss_box_reg: 0.0176 (0.0225)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3563  data: 0.0105  max mem: 3659\n",
            "Epoch: [8]  [130/159]  eta: 0:00:10  lr: 0.000050  loss: 0.0942 (0.1283)  loss_classifier: 0.0721 (0.1050)  loss_box_reg: 0.0176 (0.0224)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3622  data: 0.0105  max mem: 3659\n",
            "Epoch: [8]  [140/159]  eta: 0:00:07  lr: 0.000050  loss: 0.0971 (0.1282)  loss_classifier: 0.0682 (0.1051)  loss_box_reg: 0.0164 (0.0222)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3679  data: 0.0098  max mem: 3659\n",
            "Epoch: [8]  [150/159]  eta: 0:00:03  lr: 0.000050  loss: 0.0703 (0.1264)  loss_classifier: 0.0619 (0.1038)  loss_box_reg: 0.0129 (0.0216)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3507  data: 0.0102  max mem: 3659\n",
            "Epoch: [8]  [158/159]  eta: 0:00:00  lr: 0.000050  loss: 0.0637 (0.1280)  loss_classifier: 0.0541 (0.1055)  loss_box_reg: 0.0110 (0.0216)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3509  data: 0.0101  max mem: 3659\n",
            "Epoch: [8] Total time: 0:00:58 (0.3705 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0832 (0.0832)  evaluator_time: 0.0037 (0.0037)  time: 0.2132  data: 0.1245  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0760)  evaluator_time: 0.0022 (0.0028)  time: 0.0837  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0892 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0760)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [9]  [  0/159]  eta: 0:01:29  lr: 0.000005  loss: 0.0626 (0.0626)  loss_classifier: 0.0509 (0.0509)  loss_box_reg: 0.0110 (0.0110)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.5650  data: 0.1953  max mem: 3659\n",
            "Epoch: [9]  [ 10/159]  eta: 0:01:00  lr: 0.000005  loss: 0.1210 (0.1283)  loss_classifier: 0.0873 (0.1013)  loss_box_reg: 0.0225 (0.0254)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.4070  data: 0.0272  max mem: 3659\n",
            "Epoch: [9]  [ 20/159]  eta: 0:00:51  lr: 0.000005  loss: 0.0890 (0.1199)  loss_classifier: 0.0707 (0.0960)  loss_box_reg: 0.0185 (0.0226)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3592  data: 0.0103  max mem: 3659\n",
            "Epoch: [9]  [ 30/159]  eta: 0:00:47  lr: 0.000005  loss: 0.0863 (0.1233)  loss_classifier: 0.0707 (0.1002)  loss_box_reg: 0.0155 (0.0221)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3523  data: 0.0105  max mem: 3659\n",
            "Epoch: [9]  [ 40/159]  eta: 0:00:44  lr: 0.000005  loss: 0.1193 (0.1314)  loss_classifier: 0.1008 (0.1063)  loss_box_reg: 0.0147 (0.0240)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3846  data: 0.0107  max mem: 3659\n",
            "Epoch: [9]  [ 50/159]  eta: 0:00:40  lr: 0.000005  loss: 0.1182 (0.1266)  loss_classifier: 0.0978 (0.1028)  loss_box_reg: 0.0150 (0.0227)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3754  data: 0.0104  max mem: 3659\n",
            "Epoch: [9]  [ 60/159]  eta: 0:00:36  lr: 0.000005  loss: 0.1122 (0.1264)  loss_classifier: 0.0870 (0.1027)  loss_box_reg: 0.0167 (0.0226)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3528  data: 0.0112  max mem: 3659\n",
            "Epoch: [9]  [ 70/159]  eta: 0:00:33  lr: 0.000005  loss: 0.1287 (0.1259)  loss_classifier: 0.0925 (0.1027)  loss_box_reg: 0.0175 (0.0221)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3692  data: 0.0113  max mem: 3659\n",
            "Epoch: [9]  [ 80/159]  eta: 0:00:29  lr: 0.000005  loss: 0.1070 (0.1256)  loss_classifier: 0.0758 (0.1021)  loss_box_reg: 0.0207 (0.0225)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3757  data: 0.0110  max mem: 3659\n",
            "Epoch: [9]  [ 90/159]  eta: 0:00:25  lr: 0.000005  loss: 0.1070 (0.1283)  loss_classifier: 0.0833 (0.1046)  loss_box_reg: 0.0222 (0.0226)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3512  data: 0.0109  max mem: 3659\n",
            "Epoch: [9]  [100/159]  eta: 0:00:21  lr: 0.000005  loss: 0.1089 (0.1303)  loss_classifier: 0.0915 (0.1066)  loss_box_reg: 0.0198 (0.0226)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3694  data: 0.0106  max mem: 3659\n",
            "Epoch: [9]  [110/159]  eta: 0:00:18  lr: 0.000005  loss: 0.1077 (0.1316)  loss_classifier: 0.0879 (0.1078)  loss_box_reg: 0.0177 (0.0227)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3882  data: 0.0112  max mem: 3659\n",
            "Epoch: [9]  [120/159]  eta: 0:00:14  lr: 0.000005  loss: 0.1129 (0.1350)  loss_classifier: 0.0926 (0.1109)  loss_box_reg: 0.0177 (0.0230)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.3850  data: 0.0109  max mem: 3659\n",
            "Epoch: [9]  [130/159]  eta: 0:00:10  lr: 0.000005  loss: 0.1099 (0.1325)  loss_classifier: 0.0850 (0.1089)  loss_box_reg: 0.0143 (0.0226)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3745  data: 0.0107  max mem: 3659\n",
            "Epoch: [9]  [140/159]  eta: 0:00:07  lr: 0.000005  loss: 0.0635 (0.1286)  loss_classifier: 0.0533 (0.1054)  loss_box_reg: 0.0113 (0.0221)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3591  data: 0.0107  max mem: 3659\n",
            "Epoch: [9]  [150/159]  eta: 0:00:03  lr: 0.000005  loss: 0.0671 (0.1297)  loss_classifier: 0.0566 (0.1065)  loss_box_reg: 0.0133 (0.0222)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3692  data: 0.0105  max mem: 3659\n",
            "Epoch: [9]  [158/159]  eta: 0:00:00  lr: 0.000005  loss: 0.1055 (0.1284)  loss_classifier: 0.0729 (0.1053)  loss_box_reg: 0.0213 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3678  data: 0.0098  max mem: 3659\n",
            "Epoch: [9] Total time: 0:00:59 (0.3715 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0841 (0.0841)  evaluator_time: 0.0035 (0.0035)  time: 0.2143  data: 0.1250  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0738 (0.0762)  evaluator_time: 0.0022 (0.0028)  time: 0.0839  data: 0.0053  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0895 s / it)\n",
            "Averaged stats: model_time: 0.0738 (0.0762)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [10]  [  0/159]  eta: 0:02:10  lr: 0.000005  loss: 0.1190 (0.1190)  loss_classifier: 0.1029 (0.1029)  loss_box_reg: 0.0146 (0.0146)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0012 (0.0012)  time: 0.8191  data: 0.3209  max mem: 3659\n",
            "Epoch: [10]  [ 10/159]  eta: 0:01:01  lr: 0.000005  loss: 0.1190 (0.1254)  loss_classifier: 0.0984 (0.1059)  loss_box_reg: 0.0146 (0.0187)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.4138  data: 0.0362  max mem: 3659\n",
            "Epoch: [10]  [ 20/159]  eta: 0:00:52  lr: 0.000005  loss: 0.0993 (0.1362)  loss_classifier: 0.0742 (0.1134)  loss_box_reg: 0.0171 (0.0219)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3572  data: 0.0085  max mem: 3659\n",
            "Epoch: [10]  [ 30/159]  eta: 0:00:47  lr: 0.000005  loss: 0.0993 (0.1292)  loss_classifier: 0.0742 (0.1073)  loss_box_reg: 0.0216 (0.0210)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3430  data: 0.0102  max mem: 3659\n",
            "Epoch: [10]  [ 40/159]  eta: 0:00:43  lr: 0.000005  loss: 0.0864 (0.1273)  loss_classifier: 0.0770 (0.1053)  loss_box_reg: 0.0171 (0.0211)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3590  data: 0.0113  max mem: 3659\n",
            "Epoch: [10]  [ 50/159]  eta: 0:00:40  lr: 0.000005  loss: 0.1082 (0.1250)  loss_classifier: 0.0824 (0.1032)  loss_box_reg: 0.0152 (0.0210)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3757  data: 0.0106  max mem: 3659\n",
            "Epoch: [10]  [ 60/159]  eta: 0:00:36  lr: 0.000005  loss: 0.0903 (0.1263)  loss_classifier: 0.0661 (0.1043)  loss_box_reg: 0.0151 (0.0212)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3675  data: 0.0100  max mem: 3659\n",
            "Epoch: [10]  [ 70/159]  eta: 0:00:32  lr: 0.000005  loss: 0.1027 (0.1332)  loss_classifier: 0.0794 (0.1099)  loss_box_reg: 0.0168 (0.0223)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3655  data: 0.0108  max mem: 3659\n",
            "Epoch: [10]  [ 80/159]  eta: 0:00:29  lr: 0.000005  loss: 0.1436 (0.1359)  loss_classifier: 0.1246 (0.1128)  loss_box_reg: 0.0205 (0.0221)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3820  data: 0.0108  max mem: 3659\n",
            "Epoch: [10]  [ 90/159]  eta: 0:00:25  lr: 0.000005  loss: 0.1558 (0.1371)  loss_classifier: 0.1243 (0.1132)  loss_box_reg: 0.0236 (0.0229)  loss_objectness: 0.0004 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3671  data: 0.0105  max mem: 3659\n",
            "Epoch: [10]  [100/159]  eta: 0:00:21  lr: 0.000005  loss: 0.1052 (0.1336)  loss_classifier: 0.0923 (0.1104)  loss_box_reg: 0.0178 (0.0222)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3675  data: 0.0109  max mem: 3659\n",
            "Epoch: [10]  [110/159]  eta: 0:00:18  lr: 0.000005  loss: 0.0736 (0.1313)  loss_classifier: 0.0558 (0.1081)  loss_box_reg: 0.0121 (0.0222)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3900  data: 0.0105  max mem: 3659\n",
            "Epoch: [10]  [120/159]  eta: 0:00:14  lr: 0.000005  loss: 0.0763 (0.1306)  loss_classifier: 0.0597 (0.1074)  loss_box_reg: 0.0132 (0.0222)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3819  data: 0.0101  max mem: 3659\n",
            "Epoch: [10]  [130/159]  eta: 0:00:10  lr: 0.000005  loss: 0.0763 (0.1281)  loss_classifier: 0.0664 (0.1051)  loss_box_reg: 0.0147 (0.0220)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3591  data: 0.0098  max mem: 3659\n",
            "Epoch: [10]  [140/159]  eta: 0:00:07  lr: 0.000005  loss: 0.0801 (0.1281)  loss_classifier: 0.0673 (0.1051)  loss_box_reg: 0.0147 (0.0220)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3586  data: 0.0099  max mem: 3659\n",
            "Epoch: [10]  [150/159]  eta: 0:00:03  lr: 0.000005  loss: 0.0998 (0.1280)  loss_classifier: 0.0837 (0.1052)  loss_box_reg: 0.0143 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.4037  data: 0.0101  max mem: 3659\n",
            "Epoch: [10]  [158/159]  eta: 0:00:00  lr: 0.000005  loss: 0.0998 (0.1278)  loss_classifier: 0.0837 (0.1050)  loss_box_reg: 0.0160 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3878  data: 0.0099  max mem: 3659\n",
            "Epoch: [10] Total time: 0:00:59 (0.3740 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0840 (0.0840)  evaluator_time: 0.0040 (0.0040)  time: 0.2160  data: 0.1266  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0738 (0.0757)  evaluator_time: 0.0022 (0.0027)  time: 0.0832  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0892 s / it)\n",
            "Averaged stats: model_time: 0.0738 (0.0757)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [11]  [  0/159]  eta: 0:01:25  lr: 0.000005  loss: 0.0396 (0.0396)  loss_classifier: 0.0271 (0.0271)  loss_box_reg: 0.0119 (0.0119)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.5348  data: 0.1957  max mem: 3659\n",
            "Epoch: [11]  [ 10/159]  eta: 0:00:55  lr: 0.000005  loss: 0.0969 (0.0933)  loss_classifier: 0.0818 (0.0772)  loss_box_reg: 0.0145 (0.0154)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0005)  time: 0.3743  data: 0.0256  max mem: 3659\n",
            "Epoch: [11]  [ 20/159]  eta: 0:00:53  lr: 0.000005  loss: 0.1162 (0.1120)  loss_classifier: 0.0993 (0.0928)  loss_box_reg: 0.0156 (0.0184)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3745  data: 0.0094  max mem: 3659\n",
            "Epoch: [11]  [ 30/159]  eta: 0:00:49  lr: 0.000005  loss: 0.1228 (0.1270)  loss_classifier: 0.1033 (0.1057)  loss_box_reg: 0.0157 (0.0205)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3831  data: 0.0103  max mem: 3659\n",
            "Epoch: [11]  [ 40/159]  eta: 0:00:44  lr: 0.000005  loss: 0.0989 (0.1271)  loss_classifier: 0.0851 (0.1036)  loss_box_reg: 0.0177 (0.0225)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3679  data: 0.0100  max mem: 3659\n",
            "Epoch: [11]  [ 50/159]  eta: 0:00:41  lr: 0.000005  loss: 0.0989 (0.1299)  loss_classifier: 0.0844 (0.1071)  loss_box_reg: 0.0141 (0.0219)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3746  data: 0.0100  max mem: 3659\n",
            "Epoch: [11]  [ 60/159]  eta: 0:00:37  lr: 0.000005  loss: 0.0829 (0.1245)  loss_classifier: 0.0585 (0.1026)  loss_box_reg: 0.0147 (0.0210)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3740  data: 0.0108  max mem: 3659\n",
            "Epoch: [11]  [ 70/159]  eta: 0:00:33  lr: 0.000005  loss: 0.0850 (0.1293)  loss_classifier: 0.0721 (0.1074)  loss_box_reg: 0.0147 (0.0211)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3832  data: 0.0114  max mem: 3659\n",
            "Epoch: [11]  [ 80/159]  eta: 0:00:29  lr: 0.000005  loss: 0.1004 (0.1318)  loss_classifier: 0.0742 (0.1083)  loss_box_reg: 0.0202 (0.0227)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3759  data: 0.0108  max mem: 3659\n",
            "Epoch: [11]  [ 90/159]  eta: 0:00:25  lr: 0.000005  loss: 0.0952 (0.1319)  loss_classifier: 0.0812 (0.1085)  loss_box_reg: 0.0224 (0.0227)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3670  data: 0.0101  max mem: 3659\n",
            "Epoch: [11]  [100/159]  eta: 0:00:22  lr: 0.000005  loss: 0.0952 (0.1312)  loss_classifier: 0.0814 (0.1079)  loss_box_reg: 0.0146 (0.0225)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3658  data: 0.0105  max mem: 3659\n",
            "Epoch: [11]  [110/159]  eta: 0:00:18  lr: 0.000005  loss: 0.1187 (0.1293)  loss_classifier: 0.0905 (0.1063)  loss_box_reg: 0.0195 (0.0222)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3450  data: 0.0107  max mem: 3659\n",
            "Epoch: [11]  [120/159]  eta: 0:00:14  lr: 0.000005  loss: 0.1379 (0.1344)  loss_classifier: 0.1118 (0.1104)  loss_box_reg: 0.0269 (0.0231)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3540  data: 0.0107  max mem: 3659\n",
            "Epoch: [11]  [130/159]  eta: 0:00:10  lr: 0.000005  loss: 0.1379 (0.1330)  loss_classifier: 0.1118 (0.1092)  loss_box_reg: 0.0235 (0.0229)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3753  data: 0.0107  max mem: 3659\n",
            "Epoch: [11]  [140/159]  eta: 0:00:07  lr: 0.000005  loss: 0.0656 (0.1308)  loss_classifier: 0.0525 (0.1076)  loss_box_reg: 0.0140 (0.0223)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3735  data: 0.0101  max mem: 3659\n",
            "Epoch: [11]  [150/159]  eta: 0:00:03  lr: 0.000005  loss: 0.0663 (0.1288)  loss_classifier: 0.0582 (0.1059)  loss_box_reg: 0.0140 (0.0220)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3600  data: 0.0098  max mem: 3659\n",
            "Epoch: [11]  [158/159]  eta: 0:00:00  lr: 0.000005  loss: 0.0681 (0.1281)  loss_classifier: 0.0588 (0.1056)  loss_box_reg: 0.0158 (0.0217)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3600  data: 0.0100  max mem: 3659\n",
            "Epoch: [11] Total time: 0:00:58 (0.3702 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:09  model_time: 0.0869 (0.0869)  evaluator_time: 0.0039 (0.0039)  time: 0.2383  data: 0.1459  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0739 (0.0760)  evaluator_time: 0.0023 (0.0028)  time: 0.0838  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0896 s / it)\n",
            "Averaged stats: model_time: 0.0739 (0.0760)  evaluator_time: 0.0023 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [12]  [  0/159]  eta: 0:01:50  lr: 0.000001  loss: 0.0379 (0.0379)  loss_classifier: 0.0288 (0.0288)  loss_box_reg: 0.0082 (0.0082)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0008 (0.0008)  time: 0.6969  data: 0.1837  max mem: 3659\n",
            "Epoch: [12]  [ 10/159]  eta: 0:00:58  lr: 0.000001  loss: 0.1054 (0.1191)  loss_classifier: 0.0901 (0.0976)  loss_box_reg: 0.0161 (0.0205)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3902  data: 0.0256  max mem: 3659\n",
            "Epoch: [12]  [ 20/159]  eta: 0:00:54  lr: 0.000001  loss: 0.1054 (0.1331)  loss_classifier: 0.0901 (0.1118)  loss_box_reg: 0.0161 (0.0202)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3774  data: 0.0103  max mem: 3659\n",
            "Epoch: [12]  [ 30/159]  eta: 0:00:49  lr: 0.000001  loss: 0.0837 (0.1319)  loss_classifier: 0.0650 (0.1115)  loss_box_reg: 0.0155 (0.0195)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3852  data: 0.0111  max mem: 3659\n",
            "Epoch: [12]  [ 40/159]  eta: 0:00:45  lr: 0.000001  loss: 0.1050 (0.1316)  loss_classifier: 0.0719 (0.1105)  loss_box_reg: 0.0171 (0.0201)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0006)  time: 0.3694  data: 0.0110  max mem: 3659\n",
            "Epoch: [12]  [ 50/159]  eta: 0:00:42  lr: 0.000001  loss: 0.1136 (0.1317)  loss_classifier: 0.0853 (0.1099)  loss_box_reg: 0.0181 (0.0208)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3855  data: 0.0109  max mem: 3659\n",
            "Epoch: [12]  [ 60/159]  eta: 0:00:38  lr: 0.000001  loss: 0.1012 (0.1318)  loss_classifier: 0.0711 (0.1103)  loss_box_reg: 0.0158 (0.0206)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.4017  data: 0.0111  max mem: 3659\n",
            "Epoch: [12]  [ 70/159]  eta: 0:00:33  lr: 0.000001  loss: 0.1043 (0.1313)  loss_classifier: 0.0876 (0.1093)  loss_box_reg: 0.0195 (0.0210)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3616  data: 0.0109  max mem: 3659\n",
            "Epoch: [12]  [ 80/159]  eta: 0:00:29  lr: 0.000001  loss: 0.1102 (0.1284)  loss_classifier: 0.0876 (0.1067)  loss_box_reg: 0.0188 (0.0208)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3424  data: 0.0105  max mem: 3659\n",
            "Epoch: [12]  [ 90/159]  eta: 0:00:25  lr: 0.000001  loss: 0.0704 (0.1281)  loss_classifier: 0.0620 (0.1065)  loss_box_reg: 0.0157 (0.0207)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3515  data: 0.0105  max mem: 3659\n",
            "Epoch: [12]  [100/159]  eta: 0:00:21  lr: 0.000001  loss: 0.0757 (0.1241)  loss_classifier: 0.0628 (0.1026)  loss_box_reg: 0.0157 (0.0206)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3448  data: 0.0110  max mem: 3659\n",
            "Epoch: [12]  [110/159]  eta: 0:00:18  lr: 0.000001  loss: 0.0856 (0.1241)  loss_classifier: 0.0671 (0.1027)  loss_box_reg: 0.0152 (0.0205)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3598  data: 0.0106  max mem: 3659\n",
            "Epoch: [12]  [120/159]  eta: 0:00:14  lr: 0.000001  loss: 0.1092 (0.1253)  loss_classifier: 0.0939 (0.1036)  loss_box_reg: 0.0176 (0.0206)  loss_objectness: 0.0005 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3739  data: 0.0101  max mem: 3659\n",
            "Epoch: [12]  [130/159]  eta: 0:00:10  lr: 0.000001  loss: 0.1439 (0.1308)  loss_classifier: 0.1140 (0.1081)  loss_box_reg: 0.0262 (0.0216)  loss_objectness: 0.0003 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3654  data: 0.0101  max mem: 3659\n",
            "Epoch: [12]  [140/159]  eta: 0:00:07  lr: 0.000001  loss: 0.1234 (0.1305)  loss_classifier: 0.1025 (0.1078)  loss_box_reg: 0.0225 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3652  data: 0.0100  max mem: 3659\n",
            "Epoch: [12]  [150/159]  eta: 0:00:03  lr: 0.000001  loss: 0.0742 (0.1298)  loss_classifier: 0.0621 (0.1073)  loss_box_reg: 0.0159 (0.0214)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3646  data: 0.0097  max mem: 3659\n",
            "Epoch: [12]  [158/159]  eta: 0:00:00  lr: 0.000001  loss: 0.0714 (0.1277)  loss_classifier: 0.0605 (0.1051)  loss_box_reg: 0.0107 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3725  data: 0.0094  max mem: 3659\n",
            "Epoch: [12] Total time: 0:00:58 (0.3705 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0862 (0.0862)  evaluator_time: 0.0036 (0.0036)  time: 0.2187  data: 0.1272  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0728 (0.0771)  evaluator_time: 0.0020 (0.0026)  time: 0.0822  data: 0.0050  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0900 s / it)\n",
            "Averaged stats: model_time: 0.0728 (0.0771)  evaluator_time: 0.0020 (0.0026)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [13]  [  0/159]  eta: 0:01:18  lr: 0.000001  loss: 0.1518 (0.1518)  loss_classifier: 0.1068 (0.1068)  loss_box_reg: 0.0433 (0.0433)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0016 (0.0016)  time: 0.4960  data: 0.1506  max mem: 3659\n",
            "Epoch: [13]  [ 10/159]  eta: 0:00:53  lr: 0.000001  loss: 0.1518 (0.1453)  loss_classifier: 0.1068 (0.1206)  loss_box_reg: 0.0173 (0.0230)  loss_objectness: 0.0001 (0.0010)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3611  data: 0.0228  max mem: 3659\n",
            "Epoch: [13]  [ 20/159]  eta: 0:00:48  lr: 0.000001  loss: 0.0763 (0.1333)  loss_classifier: 0.0612 (0.1094)  loss_box_reg: 0.0139 (0.0226)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3443  data: 0.0098  max mem: 3659\n",
            "Epoch: [13]  [ 30/159]  eta: 0:00:46  lr: 0.000001  loss: 0.0763 (0.1298)  loss_classifier: 0.0612 (0.1071)  loss_box_reg: 0.0137 (0.0215)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3573  data: 0.0101  max mem: 3659\n",
            "Epoch: [13]  [ 40/159]  eta: 0:00:43  lr: 0.000001  loss: 0.0998 (0.1306)  loss_classifier: 0.0803 (0.1080)  loss_box_reg: 0.0209 (0.0215)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3748  data: 0.0102  max mem: 3659\n",
            "Epoch: [13]  [ 50/159]  eta: 0:00:39  lr: 0.000001  loss: 0.0990 (0.1270)  loss_classifier: 0.0838 (0.1042)  loss_box_reg: 0.0185 (0.0218)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3617  data: 0.0104  max mem: 3659\n",
            "Epoch: [13]  [ 60/159]  eta: 0:00:35  lr: 0.000001  loss: 0.0775 (0.1195)  loss_classifier: 0.0628 (0.0979)  loss_box_reg: 0.0158 (0.0205)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3604  data: 0.0109  max mem: 3659\n",
            "Epoch: [13]  [ 70/159]  eta: 0:00:32  lr: 0.000001  loss: 0.0752 (0.1168)  loss_classifier: 0.0558 (0.0960)  loss_box_reg: 0.0124 (0.0199)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3818  data: 0.0103  max mem: 3659\n",
            "Epoch: [13]  [ 80/159]  eta: 0:00:29  lr: 0.000001  loss: 0.0902 (0.1205)  loss_classifier: 0.0754 (0.0995)  loss_box_reg: 0.0133 (0.0200)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3965  data: 0.0098  max mem: 3659\n",
            "Epoch: [13]  [ 90/159]  eta: 0:00:25  lr: 0.000001  loss: 0.0846 (0.1209)  loss_classifier: 0.0736 (0.0999)  loss_box_reg: 0.0173 (0.0199)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3959  data: 0.0099  max mem: 3659\n",
            "Epoch: [13]  [100/159]  eta: 0:00:21  lr: 0.000001  loss: 0.1384 (0.1238)  loss_classifier: 0.1139 (0.1023)  loss_box_reg: 0.0187 (0.0206)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3724  data: 0.0096  max mem: 3659\n",
            "Epoch: [13]  [110/159]  eta: 0:00:18  lr: 0.000001  loss: 0.1452 (0.1255)  loss_classifier: 0.1226 (0.1041)  loss_box_reg: 0.0200 (0.0204)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3581  data: 0.0093  max mem: 3659\n",
            "Epoch: [13]  [120/159]  eta: 0:00:14  lr: 0.000001  loss: 0.0876 (0.1225)  loss_classifier: 0.0660 (0.1011)  loss_box_reg: 0.0159 (0.0204)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3505  data: 0.0095  max mem: 3659\n",
            "Epoch: [13]  [130/159]  eta: 0:00:10  lr: 0.000001  loss: 0.0876 (0.1253)  loss_classifier: 0.0639 (0.1032)  loss_box_reg: 0.0168 (0.0211)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3488  data: 0.0100  max mem: 3659\n",
            "Epoch: [13]  [140/159]  eta: 0:00:06  lr: 0.000001  loss: 0.1390 (0.1276)  loss_classifier: 0.1107 (0.1053)  loss_box_reg: 0.0244 (0.0213)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3585  data: 0.0099  max mem: 3659\n",
            "Epoch: [13]  [150/159]  eta: 0:00:03  lr: 0.000001  loss: 0.1251 (0.1276)  loss_classifier: 0.1033 (0.1052)  loss_box_reg: 0.0232 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3669  data: 0.0097  max mem: 3659\n",
            "Epoch: [13]  [158/159]  eta: 0:00:00  lr: 0.000001  loss: 0.0963 (0.1276)  loss_classifier: 0.0769 (0.1047)  loss_box_reg: 0.0224 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0008 (0.0007)  time: 0.3724  data: 0.0098  max mem: 3659\n",
            "Epoch: [13] Total time: 0:00:58 (0.3671 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0880 (0.0880)  evaluator_time: 0.0034 (0.0034)  time: 0.2145  data: 0.1215  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0730 (0.0750)  evaluator_time: 0.0020 (0.0026)  time: 0.0823  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0878 s / it)\n",
            "Averaged stats: model_time: 0.0730 (0.0750)  evaluator_time: 0.0020 (0.0026)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [14]  [  0/159]  eta: 0:01:26  lr: 0.000001  loss: 0.2845 (0.2845)  loss_classifier: 0.2292 (0.2292)  loss_box_reg: 0.0542 (0.0542)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0010 (0.0010)  time: 0.5415  data: 0.1839  max mem: 3659\n",
            "Epoch: [14]  [ 10/159]  eta: 0:00:53  lr: 0.000001  loss: 0.0708 (0.1107)  loss_classifier: 0.0559 (0.0910)  loss_box_reg: 0.0157 (0.0192)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3616  data: 0.0259  max mem: 3659\n",
            "Epoch: [14]  [ 20/159]  eta: 0:00:52  lr: 0.000001  loss: 0.0991 (0.1415)  loss_classifier: 0.0756 (0.1163)  loss_box_reg: 0.0197 (0.0245)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3671  data: 0.0103  max mem: 3659\n",
            "Epoch: [14]  [ 30/159]  eta: 0:00:47  lr: 0.000001  loss: 0.1189 (0.1337)  loss_classifier: 0.0846 (0.1067)  loss_box_reg: 0.0197 (0.0260)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3755  data: 0.0103  max mem: 3659\n",
            "Epoch: [14]  [ 40/159]  eta: 0:00:43  lr: 0.000001  loss: 0.1369 (0.1512)  loss_classifier: 0.1148 (0.1228)  loss_box_reg: 0.0196 (0.0272)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3596  data: 0.0103  max mem: 3659\n",
            "Epoch: [14]  [ 50/159]  eta: 0:00:39  lr: 0.000001  loss: 0.0881 (0.1467)  loss_classifier: 0.0688 (0.1191)  loss_box_reg: 0.0261 (0.0265)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3457  data: 0.0105  max mem: 3659\n",
            "Epoch: [14]  [ 60/159]  eta: 0:00:35  lr: 0.000001  loss: 0.0779 (0.1369)  loss_classifier: 0.0591 (0.1113)  loss_box_reg: 0.0157 (0.0245)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3466  data: 0.0104  max mem: 3659\n",
            "Epoch: [14]  [ 70/159]  eta: 0:00:32  lr: 0.000001  loss: 0.0658 (0.1353)  loss_classifier: 0.0572 (0.1107)  loss_box_reg: 0.0105 (0.0235)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3679  data: 0.0106  max mem: 3659\n",
            "Epoch: [14]  [ 80/159]  eta: 0:00:28  lr: 0.000001  loss: 0.0657 (0.1291)  loss_classifier: 0.0572 (0.1059)  loss_box_reg: 0.0105 (0.0220)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3747  data: 0.0101  max mem: 3659\n",
            "Epoch: [14]  [ 90/159]  eta: 0:00:25  lr: 0.000001  loss: 0.0657 (0.1268)  loss_classifier: 0.0540 (0.1040)  loss_box_reg: 0.0105 (0.0216)  loss_objectness: 0.0004 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3821  data: 0.0100  max mem: 3659\n",
            "Epoch: [14]  [100/159]  eta: 0:00:21  lr: 0.000001  loss: 0.0771 (0.1262)  loss_classifier: 0.0613 (0.1036)  loss_box_reg: 0.0178 (0.0215)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3834  data: 0.0103  max mem: 3659\n",
            "Epoch: [14]  [110/159]  eta: 0:00:18  lr: 0.000001  loss: 0.1044 (0.1248)  loss_classifier: 0.0878 (0.1028)  loss_box_reg: 0.0161 (0.0210)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3752  data: 0.0104  max mem: 3659\n",
            "Epoch: [14]  [120/159]  eta: 0:00:14  lr: 0.000001  loss: 0.1096 (0.1249)  loss_classifier: 0.0966 (0.1029)  loss_box_reg: 0.0161 (0.0209)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3681  data: 0.0108  max mem: 3659\n",
            "Epoch: [14]  [130/159]  eta: 0:00:10  lr: 0.000001  loss: 0.1128 (0.1238)  loss_classifier: 0.0966 (0.1019)  loss_box_reg: 0.0186 (0.0208)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3765  data: 0.0109  max mem: 3659\n",
            "Epoch: [14]  [140/159]  eta: 0:00:07  lr: 0.000001  loss: 0.1106 (0.1244)  loss_classifier: 0.0953 (0.1022)  loss_box_reg: 0.0186 (0.0210)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3845  data: 0.0106  max mem: 3659\n",
            "Epoch: [14]  [150/159]  eta: 0:00:03  lr: 0.000001  loss: 0.1106 (0.1247)  loss_classifier: 0.0921 (0.1024)  loss_box_reg: 0.0201 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3696  data: 0.0109  max mem: 3659\n",
            "Epoch: [14]  [158/159]  eta: 0:00:00  lr: 0.000001  loss: 0.1397 (0.1276)  loss_classifier: 0.1051 (0.1048)  loss_box_reg: 0.0231 (0.0217)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3747  data: 0.0106  max mem: 3659\n",
            "Epoch: [14] Total time: 0:00:58 (0.3709 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0886 (0.0886)  evaluator_time: 0.0049 (0.0049)  time: 0.2199  data: 0.1245  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0740 (0.0760)  evaluator_time: 0.0023 (0.0029)  time: 0.0843  data: 0.0052  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0894 s / it)\n",
            "Averaged stats: model_time: 0.0740 (0.0760)  evaluator_time: 0.0023 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [15]  [  0/159]  eta: 0:01:22  lr: 0.000000  loss: 0.2376 (0.2376)  loss_classifier: 0.2066 (0.2066)  loss_box_reg: 0.0303 (0.0303)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.5182  data: 0.1481  max mem: 3659\n",
            "Epoch: [15]  [ 10/159]  eta: 0:00:57  lr: 0.000000  loss: 0.0703 (0.1281)  loss_classifier: 0.0620 (0.1048)  loss_box_reg: 0.0130 (0.0224)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3861  data: 0.0221  max mem: 3659\n",
            "Epoch: [15]  [ 20/159]  eta: 0:00:52  lr: 0.000000  loss: 0.1051 (0.1393)  loss_classifier: 0.0800 (0.1150)  loss_box_reg: 0.0191 (0.0234)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3733  data: 0.0094  max mem: 3659\n",
            "Epoch: [15]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1002 (0.1277)  loss_classifier: 0.0800 (0.1041)  loss_box_reg: 0.0218 (0.0227)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0003 (0.0008)  time: 0.3669  data: 0.0099  max mem: 3659\n",
            "Epoch: [15]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.0972 (0.1313)  loss_classifier: 0.0744 (0.1087)  loss_box_reg: 0.0152 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3747  data: 0.0106  max mem: 3659\n",
            "Epoch: [15]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.1044 (0.1318)  loss_classifier: 0.0900 (0.1087)  loss_box_reg: 0.0142 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3898  data: 0.0109  max mem: 3659\n",
            "Epoch: [15]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0989 (0.1278)  loss_classifier: 0.0716 (0.1053)  loss_box_reg: 0.0142 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3738  data: 0.0104  max mem: 3659\n",
            "Epoch: [15]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0989 (0.1257)  loss_classifier: 0.0728 (0.1035)  loss_box_reg: 0.0183 (0.0213)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3578  data: 0.0102  max mem: 3659\n",
            "Epoch: [15]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1030 (0.1251)  loss_classifier: 0.0852 (0.1026)  loss_box_reg: 0.0179 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3819  data: 0.0100  max mem: 3659\n",
            "Epoch: [15]  [ 90/159]  eta: 0:00:26  lr: 0.000000  loss: 0.0933 (0.1265)  loss_classifier: 0.0786 (0.1037)  loss_box_reg: 0.0162 (0.0219)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3973  data: 0.0100  max mem: 3659\n",
            "Epoch: [15]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.1140 (0.1287)  loss_classifier: 0.0853 (0.1058)  loss_box_reg: 0.0171 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3809  data: 0.0102  max mem: 3659\n",
            "Epoch: [15]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1158 (0.1283)  loss_classifier: 0.0956 (0.1055)  loss_box_reg: 0.0175 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3568  data: 0.0093  max mem: 3659\n",
            "Epoch: [15]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1101 (0.1291)  loss_classifier: 0.0899 (0.1064)  loss_box_reg: 0.0195 (0.0217)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3490  data: 0.0095  max mem: 3659\n",
            "Epoch: [15]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1267 (0.1308)  loss_classifier: 0.0922 (0.1074)  loss_box_reg: 0.0195 (0.0224)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3582  data: 0.0105  max mem: 3659\n",
            "Epoch: [15]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1267 (0.1315)  loss_classifier: 0.0922 (0.1081)  loss_box_reg: 0.0196 (0.0224)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3654  data: 0.0101  max mem: 3659\n",
            "Epoch: [15]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0899 (0.1301)  loss_classifier: 0.0745 (0.1072)  loss_box_reg: 0.0142 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3871  data: 0.0096  max mem: 3659\n",
            "Epoch: [15]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0572 (0.1284)  loss_classifier: 0.0491 (0.1058)  loss_box_reg: 0.0113 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3865  data: 0.0095  max mem: 3659\n",
            "Epoch: [15] Total time: 0:00:59 (0.3742 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0894 (0.0894)  evaluator_time: 0.0039 (0.0039)  time: 0.2081  data: 0.1130  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0732 (0.0751)  evaluator_time: 0.0021 (0.0026)  time: 0.0820  data: 0.0045  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0876 s / it)\n",
            "Averaged stats: model_time: 0.0732 (0.0751)  evaluator_time: 0.0021 (0.0026)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [16]  [  0/159]  eta: 0:01:23  lr: 0.000000  loss: 0.0648 (0.0648)  loss_classifier: 0.0573 (0.0573)  loss_box_reg: 0.0074 (0.0074)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.5256  data: 0.1817  max mem: 3659\n",
            "Epoch: [16]  [ 10/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0732 (0.1009)  loss_classifier: 0.0629 (0.0804)  loss_box_reg: 0.0143 (0.0201)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0002 (0.0003)  time: 0.3592  data: 0.0241  max mem: 3659\n",
            "Epoch: [16]  [ 20/159]  eta: 0:00:52  lr: 0.000000  loss: 0.1124 (0.1556)  loss_classifier: 0.0978 (0.1309)  loss_box_reg: 0.0211 (0.0241)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.3733  data: 0.0093  max mem: 3659\n",
            "Epoch: [16]  [ 30/159]  eta: 0:00:47  lr: 0.000000  loss: 0.1395 (0.1410)  loss_classifier: 0.0978 (0.1152)  loss_box_reg: 0.0211 (0.0245)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3729  data: 0.0100  max mem: 3659\n",
            "Epoch: [16]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.0863 (0.1321)  loss_classifier: 0.0649 (0.1073)  loss_box_reg: 0.0173 (0.0235)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3530  data: 0.0101  max mem: 3659\n",
            "Epoch: [16]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.0811 (0.1323)  loss_classifier: 0.0665 (0.1084)  loss_box_reg: 0.0173 (0.0227)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3607  data: 0.0102  max mem: 3659\n",
            "Epoch: [16]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0783 (0.1291)  loss_classifier: 0.0646 (0.1062)  loss_box_reg: 0.0135 (0.0216)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3743  data: 0.0101  max mem: 3659\n",
            "Epoch: [16]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0757 (0.1261)  loss_classifier: 0.0607 (0.1042)  loss_box_reg: 0.0133 (0.0207)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3750  data: 0.0105  max mem: 3659\n",
            "Epoch: [16]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1111 (0.1308)  loss_classifier: 0.0925 (0.1086)  loss_box_reg: 0.0145 (0.0210)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3606  data: 0.0102  max mem: 3659\n",
            "Epoch: [16]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1371 (0.1356)  loss_classifier: 0.1118 (0.1121)  loss_box_reg: 0.0256 (0.0224)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3631  data: 0.0096  max mem: 3659\n",
            "Epoch: [16]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1081 (0.1321)  loss_classifier: 0.0744 (0.1092)  loss_box_reg: 0.0151 (0.0218)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3681  data: 0.0096  max mem: 3659\n",
            "Epoch: [16]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0732 (0.1309)  loss_classifier: 0.0595 (0.1082)  loss_box_reg: 0.0132 (0.0216)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3735  data: 0.0104  max mem: 3659\n",
            "Epoch: [16]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1275 (0.1323)  loss_classifier: 0.1053 (0.1093)  loss_box_reg: 0.0173 (0.0219)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3802  data: 0.0103  max mem: 3659\n",
            "Epoch: [16]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1326 (0.1350)  loss_classifier: 0.1089 (0.1118)  loss_box_reg: 0.0221 (0.0221)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3672  data: 0.0100  max mem: 3659\n",
            "Epoch: [16]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.0993 (0.1336)  loss_classifier: 0.0785 (0.1096)  loss_box_reg: 0.0224 (0.0229)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3366  data: 0.0098  max mem: 3659\n",
            "Epoch: [16]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0851 (0.1299)  loss_classifier: 0.0529 (0.1067)  loss_box_reg: 0.0127 (0.0221)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3495  data: 0.0096  max mem: 3659\n",
            "Epoch: [16]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0612 (0.1296)  loss_classifier: 0.0486 (0.1066)  loss_box_reg: 0.0113 (0.0219)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3680  data: 0.0094  max mem: 3659\n",
            "Epoch: [16] Total time: 0:00:58 (0.3663 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:09  model_time: 0.0868 (0.0868)  evaluator_time: 0.0048 (0.0048)  time: 0.2356  data: 0.1424  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0742 (0.0762)  evaluator_time: 0.0022 (0.0029)  time: 0.0844  data: 0.0053  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0900 s / it)\n",
            "Averaged stats: model_time: 0.0742 (0.0762)  evaluator_time: 0.0022 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [17]  [  0/159]  eta: 0:01:31  lr: 0.000000  loss: 0.0655 (0.0655)  loss_classifier: 0.0497 (0.0497)  loss_box_reg: 0.0154 (0.0154)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0003 (0.0003)  time: 0.5750  data: 0.2429  max mem: 3659\n",
            "Epoch: [17]  [ 10/159]  eta: 0:00:54  lr: 0.000000  loss: 0.0876 (0.1029)  loss_classifier: 0.0645 (0.0820)  loss_box_reg: 0.0200 (0.0196)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3632  data: 0.0290  max mem: 3659\n",
            "Epoch: [17]  [ 20/159]  eta: 0:00:49  lr: 0.000000  loss: 0.0934 (0.1327)  loss_classifier: 0.0695 (0.1083)  loss_box_reg: 0.0203 (0.0232)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3424  data: 0.0088  max mem: 3659\n",
            "Epoch: [17]  [ 30/159]  eta: 0:00:46  lr: 0.000000  loss: 0.0904 (0.1302)  loss_classifier: 0.0695 (0.1059)  loss_box_reg: 0.0245 (0.0232)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3585  data: 0.0103  max mem: 3659\n",
            "Epoch: [17]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.0771 (0.1230)  loss_classifier: 0.0574 (0.1002)  loss_box_reg: 0.0165 (0.0218)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3748  data: 0.0102  max mem: 3659\n",
            "Epoch: [17]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.1079 (0.1309)  loss_classifier: 0.0782 (0.1079)  loss_box_reg: 0.0147 (0.0220)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3849  data: 0.0103  max mem: 3659\n",
            "Epoch: [17]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1216 (0.1322)  loss_classifier: 0.0903 (0.1092)  loss_box_reg: 0.0212 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3758  data: 0.0100  max mem: 3659\n",
            "Epoch: [17]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1089 (0.1295)  loss_classifier: 0.0748 (0.1061)  loss_box_reg: 0.0180 (0.0224)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3735  data: 0.0094  max mem: 3659\n",
            "Epoch: [17]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0843 (0.1286)  loss_classifier: 0.0657 (0.1056)  loss_box_reg: 0.0144 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3745  data: 0.0095  max mem: 3659\n",
            "Epoch: [17]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1017 (0.1301)  loss_classifier: 0.0895 (0.1067)  loss_box_reg: 0.0214 (0.0225)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3824  data: 0.0097  max mem: 3659\n",
            "Epoch: [17]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1091 (0.1291)  loss_classifier: 0.0802 (0.1059)  loss_box_reg: 0.0217 (0.0222)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3825  data: 0.0107  max mem: 3659\n",
            "Epoch: [17]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0933 (0.1286)  loss_classifier: 0.0749 (0.1058)  loss_box_reg: 0.0159 (0.0218)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3640  data: 0.0107  max mem: 3659\n",
            "Epoch: [17]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0933 (0.1275)  loss_classifier: 0.0795 (0.1051)  loss_box_reg: 0.0159 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3788  data: 0.0100  max mem: 3659\n",
            "Epoch: [17]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1005 (0.1288)  loss_classifier: 0.0837 (0.1063)  loss_box_reg: 0.0143 (0.0215)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3731  data: 0.0099  max mem: 3659\n",
            "Epoch: [17]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1005 (0.1280)  loss_classifier: 0.0851 (0.1053)  loss_box_reg: 0.0195 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3578  data: 0.0098  max mem: 3659\n",
            "Epoch: [17]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1122 (0.1292)  loss_classifier: 0.0862 (0.1066)  loss_box_reg: 0.0195 (0.0216)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3653  data: 0.0098  max mem: 3659\n",
            "Epoch: [17]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0917 (0.1278)  loss_classifier: 0.0805 (0.1054)  loss_box_reg: 0.0174 (0.0214)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3569  data: 0.0100  max mem: 3659\n",
            "Epoch: [17] Total time: 0:00:58 (0.3701 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0909 (0.0909)  evaluator_time: 0.0038 (0.0038)  time: 0.2174  data: 0.1208  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0735 (0.0757)  evaluator_time: 0.0022 (0.0030)  time: 0.0836  data: 0.0050  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0891 s / it)\n",
            "Averaged stats: model_time: 0.0735 (0.0757)  evaluator_time: 0.0022 (0.0030)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [18]  [  0/159]  eta: 0:01:33  lr: 0.000000  loss: 0.1590 (0.1590)  loss_classifier: 0.1314 (0.1314)  loss_box_reg: 0.0270 (0.0270)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0004)  time: 0.5883  data: 0.2440  max mem: 3659\n",
            "Epoch: [18]  [ 10/159]  eta: 0:01:00  lr: 0.000000  loss: 0.0802 (0.1050)  loss_classifier: 0.0659 (0.0911)  loss_box_reg: 0.0116 (0.0134)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.4073  data: 0.0299  max mem: 3659\n",
            "Epoch: [18]  [ 20/159]  eta: 0:00:54  lr: 0.000000  loss: 0.0728 (0.1150)  loss_classifier: 0.0637 (0.0974)  loss_box_reg: 0.0140 (0.0168)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3807  data: 0.0093  max mem: 3659\n",
            "Epoch: [18]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1167 (0.1283)  loss_classifier: 0.0857 (0.1068)  loss_box_reg: 0.0207 (0.0205)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3646  data: 0.0097  max mem: 3659\n",
            "Epoch: [18]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0694 (0.1152)  loss_classifier: 0.0565 (0.0954)  loss_box_reg: 0.0160 (0.0189)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3761  data: 0.0101  max mem: 3659\n",
            "Epoch: [18]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0694 (0.1163)  loss_classifier: 0.0565 (0.0960)  loss_box_reg: 0.0127 (0.0193)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3765  data: 0.0106  max mem: 3659\n",
            "Epoch: [18]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0864 (0.1152)  loss_classifier: 0.0680 (0.0949)  loss_box_reg: 0.0182 (0.0193)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3594  data: 0.0103  max mem: 3659\n",
            "Epoch: [18]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0799 (0.1217)  loss_classifier: 0.0596 (0.1004)  loss_box_reg: 0.0162 (0.0203)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3685  data: 0.0102  max mem: 3659\n",
            "Epoch: [18]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0873 (0.1200)  loss_classifier: 0.0718 (0.0985)  loss_box_reg: 0.0162 (0.0205)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3913  data: 0.0105  max mem: 3659\n",
            "Epoch: [18]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0868 (0.1204)  loss_classifier: 0.0718 (0.0990)  loss_box_reg: 0.0174 (0.0204)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3695  data: 0.0109  max mem: 3659\n",
            "Epoch: [18]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0884 (0.1205)  loss_classifier: 0.0649 (0.0994)  loss_box_reg: 0.0174 (0.0200)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3380  data: 0.0104  max mem: 3659\n",
            "Epoch: [18]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1187 (0.1218)  loss_classifier: 0.0951 (0.1007)  loss_box_reg: 0.0166 (0.0201)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3620  data: 0.0102  max mem: 3659\n",
            "Epoch: [18]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1110 (0.1215)  loss_classifier: 0.0850 (0.1002)  loss_box_reg: 0.0166 (0.0203)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3848  data: 0.0104  max mem: 3659\n",
            "Epoch: [18]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0948 (0.1240)  loss_classifier: 0.0820 (0.1027)  loss_box_reg: 0.0155 (0.0203)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3742  data: 0.0101  max mem: 3659\n",
            "Epoch: [18]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1086 (0.1256)  loss_classifier: 0.0885 (0.1041)  loss_box_reg: 0.0155 (0.0205)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3620  data: 0.0099  max mem: 3659\n",
            "Epoch: [18]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1085 (0.1257)  loss_classifier: 0.0909 (0.1041)  loss_box_reg: 0.0171 (0.0206)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3624  data: 0.0105  max mem: 3659\n",
            "Epoch: [18]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1084 (0.1274)  loss_classifier: 0.0909 (0.1050)  loss_box_reg: 0.0204 (0.0213)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3443  data: 0.0109  max mem: 3659\n",
            "Epoch: [18] Total time: 0:00:58 (0.3694 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:09  model_time: 0.0904 (0.0904)  evaluator_time: 0.0038 (0.0038)  time: 0.2286  data: 0.1326  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0741 (0.0759)  evaluator_time: 0.0024 (0.0029)  time: 0.0843  data: 0.0051  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0897 s / it)\n",
            "Averaged stats: model_time: 0.0741 (0.0759)  evaluator_time: 0.0024 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [19]  [  0/159]  eta: 0:01:22  lr: 0.000000  loss: 0.2932 (0.2932)  loss_classifier: 0.2382 (0.2382)  loss_box_reg: 0.0498 (0.0498)  loss_objectness: 0.0044 (0.0044)  loss_rpn_box_reg: 0.0008 (0.0008)  time: 0.5209  data: 0.1551  max mem: 3659\n",
            "Epoch: [19]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1040 (0.1284)  loss_classifier: 0.0827 (0.1044)  loss_box_reg: 0.0152 (0.0221)  loss_objectness: 0.0001 (0.0012)  loss_rpn_box_reg: 0.0007 (0.0006)  time: 0.3750  data: 0.0229  max mem: 3659\n",
            "Epoch: [19]  [ 20/159]  eta: 0:00:52  lr: 0.000000  loss: 0.0776 (0.1191)  loss_classifier: 0.0646 (0.0982)  loss_box_reg: 0.0137 (0.0196)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3680  data: 0.0094  max mem: 3659\n",
            "Epoch: [19]  [ 30/159]  eta: 0:00:49  lr: 0.000000  loss: 0.0606 (0.1129)  loss_classifier: 0.0551 (0.0928)  loss_box_reg: 0.0104 (0.0188)  loss_objectness: 0.0000 (0.0007)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3828  data: 0.0098  max mem: 3659\n",
            "Epoch: [19]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0875 (0.1227)  loss_classifier: 0.0692 (0.1016)  loss_box_reg: 0.0133 (0.0198)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3821  data: 0.0106  max mem: 3659\n",
            "Epoch: [19]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0886 (0.1238)  loss_classifier: 0.0750 (0.1026)  loss_box_reg: 0.0147 (0.0199)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3737  data: 0.0103  max mem: 3659\n",
            "Epoch: [19]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0862 (0.1224)  loss_classifier: 0.0699 (0.1016)  loss_box_reg: 0.0147 (0.0196)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3745  data: 0.0108  max mem: 3659\n",
            "Epoch: [19]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1072 (0.1259)  loss_classifier: 0.0770 (0.1027)  loss_box_reg: 0.0199 (0.0220)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3824  data: 0.0116  max mem: 3659\n",
            "Epoch: [19]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0863 (0.1242)  loss_classifier: 0.0725 (0.1015)  loss_box_reg: 0.0201 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3752  data: 0.0111  max mem: 3659\n",
            "Epoch: [19]  [ 90/159]  eta: 0:00:26  lr: 0.000000  loss: 0.0856 (0.1241)  loss_classifier: 0.0668 (0.1016)  loss_box_reg: 0.0161 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3753  data: 0.0109  max mem: 3659\n",
            "Epoch: [19]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.1074 (0.1249)  loss_classifier: 0.0923 (0.1028)  loss_box_reg: 0.0170 (0.0210)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3900  data: 0.0109  max mem: 3659\n",
            "Epoch: [19]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1060 (0.1266)  loss_classifier: 0.0856 (0.1041)  loss_box_reg: 0.0206 (0.0214)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3690  data: 0.0106  max mem: 3659\n",
            "Epoch: [19]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1119 (0.1290)  loss_classifier: 0.0828 (0.1064)  loss_box_reg: 0.0236 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3702  data: 0.0101  max mem: 3659\n",
            "Epoch: [19]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0830 (0.1270)  loss_classifier: 0.0671 (0.1049)  loss_box_reg: 0.0172 (0.0211)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3688  data: 0.0102  max mem: 3659\n",
            "Epoch: [19]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.0952 (0.1303)  loss_classifier: 0.0775 (0.1073)  loss_box_reg: 0.0172 (0.0219)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3430  data: 0.0100  max mem: 3659\n",
            "Epoch: [19]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1000 (0.1272)  loss_classifier: 0.0860 (0.1048)  loss_box_reg: 0.0156 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3495  data: 0.0093  max mem: 3659\n",
            "Epoch: [19]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1000 (0.1279)  loss_classifier: 0.0844 (0.1054)  loss_box_reg: 0.0156 (0.0214)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3604  data: 0.0097  max mem: 3659\n",
            "Epoch: [19] Total time: 0:00:59 (0.3724 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0851 (0.0851)  evaluator_time: 0.0037 (0.0037)  time: 0.2228  data: 0.1325  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0736 (0.0755)  evaluator_time: 0.0022 (0.0028)  time: 0.0838  data: 0.0051  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0891 s / it)\n",
            "Averaged stats: model_time: 0.0736 (0.0755)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [20]  [  0/159]  eta: 0:01:32  lr: 0.000000  loss: 0.0638 (0.0638)  loss_classifier: 0.0525 (0.0525)  loss_box_reg: 0.0110 (0.0110)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.5791  data: 0.1841  max mem: 3659\n",
            "Epoch: [20]  [ 10/159]  eta: 0:01:00  lr: 0.000000  loss: 0.0964 (0.1240)  loss_classifier: 0.0731 (0.1023)  loss_box_reg: 0.0176 (0.0208)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.4066  data: 0.0252  max mem: 3659\n",
            "Epoch: [20]  [ 20/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1068 (0.1196)  loss_classifier: 0.0851 (0.0994)  loss_box_reg: 0.0187 (0.0191)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3911  data: 0.0094  max mem: 3659\n",
            "Epoch: [20]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1035 (0.1156)  loss_classifier: 0.0850 (0.0951)  loss_box_reg: 0.0187 (0.0192)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3605  data: 0.0093  max mem: 3659\n",
            "Epoch: [20]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.0909 (0.1086)  loss_classifier: 0.0651 (0.0887)  loss_box_reg: 0.0165 (0.0188)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3545  data: 0.0102  max mem: 3659\n",
            "Epoch: [20]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.0909 (0.1100)  loss_classifier: 0.0647 (0.0900)  loss_box_reg: 0.0102 (0.0189)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3629  data: 0.0112  max mem: 3659\n",
            "Epoch: [20]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0676 (0.1116)  loss_classifier: 0.0566 (0.0914)  loss_box_reg: 0.0108 (0.0190)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3528  data: 0.0115  max mem: 3659\n",
            "Epoch: [20]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0919 (0.1126)  loss_classifier: 0.0817 (0.0929)  loss_box_reg: 0.0131 (0.0187)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0003 (0.0005)  time: 0.3707  data: 0.0118  max mem: 3659\n",
            "Epoch: [20]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0890 (0.1123)  loss_classifier: 0.0769 (0.0923)  loss_box_reg: 0.0146 (0.0190)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3620  data: 0.0107  max mem: 3659\n",
            "Epoch: [20]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1346 (0.1205)  loss_classifier: 0.0842 (0.0985)  loss_box_reg: 0.0216 (0.0209)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3585  data: 0.0098  max mem: 3659\n",
            "Epoch: [20]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.1442 (0.1216)  loss_classifier: 0.1086 (0.0993)  loss_box_reg: 0.0210 (0.0212)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3979  data: 0.0102  max mem: 3659\n",
            "Epoch: [20]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1125 (0.1242)  loss_classifier: 0.0847 (0.1015)  loss_box_reg: 0.0173 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3823  data: 0.0101  max mem: 3659\n",
            "Epoch: [20]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1437 (0.1266)  loss_classifier: 0.1206 (0.1040)  loss_box_reg: 0.0208 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3603  data: 0.0104  max mem: 3659\n",
            "Epoch: [20]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0901 (0.1278)  loss_classifier: 0.0706 (0.1050)  loss_box_reg: 0.0180 (0.0216)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3838  data: 0.0108  max mem: 3659\n",
            "Epoch: [20]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1035 (0.1296)  loss_classifier: 0.0768 (0.1067)  loss_box_reg: 0.0194 (0.0219)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3663  data: 0.0098  max mem: 3659\n",
            "Epoch: [20]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0951 (0.1277)  loss_classifier: 0.0757 (0.1048)  loss_box_reg: 0.0206 (0.0218)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3513  data: 0.0101  max mem: 3659\n",
            "Epoch: [20]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0807 (0.1279)  loss_classifier: 0.0674 (0.1052)  loss_box_reg: 0.0145 (0.0216)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3510  data: 0.0100  max mem: 3659\n",
            "Epoch: [20] Total time: 0:00:58 (0.3692 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0898 (0.0898)  evaluator_time: 0.0037 (0.0037)  time: 0.2184  data: 0.1233  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0759)  evaluator_time: 0.0023 (0.0028)  time: 0.0833  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0890 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0759)  evaluator_time: 0.0023 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [21]  [  0/159]  eta: 0:01:25  lr: 0.000000  loss: 0.1213 (0.1213)  loss_classifier: 0.0993 (0.0993)  loss_box_reg: 0.0216 (0.0216)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.5349  data: 0.1676  max mem: 3659\n",
            "Epoch: [21]  [ 10/159]  eta: 0:00:57  lr: 0.000000  loss: 0.1117 (0.1112)  loss_classifier: 0.0989 (0.0932)  loss_box_reg: 0.0141 (0.0173)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3881  data: 0.0238  max mem: 3659\n",
            "Epoch: [21]  [ 20/159]  eta: 0:00:51  lr: 0.000000  loss: 0.0945 (0.1121)  loss_classifier: 0.0728 (0.0904)  loss_box_reg: 0.0163 (0.0205)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3653  data: 0.0095  max mem: 3659\n",
            "Epoch: [21]  [ 30/159]  eta: 0:00:46  lr: 0.000000  loss: 0.1106 (0.1409)  loss_classifier: 0.0774 (0.1161)  loss_box_reg: 0.0246 (0.0237)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3492  data: 0.0092  max mem: 3659\n",
            "Epoch: [21]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.1576 (0.1421)  loss_classifier: 0.1222 (0.1177)  loss_box_reg: 0.0275 (0.0233)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3503  data: 0.0096  max mem: 3659\n",
            "Epoch: [21]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.1198 (0.1398)  loss_classifier: 0.0895 (0.1152)  loss_box_reg: 0.0185 (0.0235)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3819  data: 0.0101  max mem: 3659\n",
            "Epoch: [21]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0902 (0.1376)  loss_classifier: 0.0697 (0.1131)  loss_box_reg: 0.0145 (0.0235)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3976  data: 0.0102  max mem: 3659\n",
            "Epoch: [21]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0635 (0.1289)  loss_classifier: 0.0556 (0.1059)  loss_box_reg: 0.0107 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3705  data: 0.0115  max mem: 3659\n",
            "Epoch: [21]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0772 (0.1314)  loss_classifier: 0.0648 (0.1080)  loss_box_reg: 0.0162 (0.0224)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3547  data: 0.0118  max mem: 3659\n",
            "Epoch: [21]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1539 (0.1328)  loss_classifier: 0.1179 (0.1095)  loss_box_reg: 0.0205 (0.0224)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3678  data: 0.0113  max mem: 3659\n",
            "Epoch: [21]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1236 (0.1335)  loss_classifier: 0.1027 (0.1096)  loss_box_reg: 0.0196 (0.0229)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3766  data: 0.0109  max mem: 3659\n",
            "Epoch: [21]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0689 (0.1303)  loss_classifier: 0.0599 (0.1070)  loss_box_reg: 0.0118 (0.0222)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3745  data: 0.0102  max mem: 3659\n",
            "Epoch: [21]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0782 (0.1302)  loss_classifier: 0.0610 (0.1068)  loss_box_reg: 0.0120 (0.0223)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3677  data: 0.0099  max mem: 3659\n",
            "Epoch: [21]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0873 (0.1303)  loss_classifier: 0.0747 (0.1069)  loss_box_reg: 0.0154 (0.0223)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3773  data: 0.0104  max mem: 3659\n",
            "Epoch: [21]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1247 (0.1326)  loss_classifier: 0.0866 (0.1092)  loss_box_reg: 0.0173 (0.0224)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3740  data: 0.0103  max mem: 3659\n",
            "Epoch: [21]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0851 (0.1298)  loss_classifier: 0.0709 (0.1070)  loss_box_reg: 0.0153 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3653  data: 0.0103  max mem: 3659\n",
            "Epoch: [21]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0765 (0.1279)  loss_classifier: 0.0606 (0.1052)  loss_box_reg: 0.0138 (0.0217)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3808  data: 0.0103  max mem: 3659\n",
            "Epoch: [21] Total time: 0:00:59 (0.3720 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0887 (0.0887)  evaluator_time: 0.0038 (0.0038)  time: 0.2237  data: 0.1290  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0742 (0.0759)  evaluator_time: 0.0022 (0.0028)  time: 0.0839  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0893 s / it)\n",
            "Averaged stats: model_time: 0.0742 (0.0759)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [22]  [  0/159]  eta: 0:01:25  lr: 0.000000  loss: 0.1439 (0.1439)  loss_classifier: 0.1272 (0.1272)  loss_box_reg: 0.0165 (0.0165)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.5376  data: 0.2002  max mem: 3659\n",
            "Epoch: [22]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.0876 (0.1266)  loss_classifier: 0.0789 (0.1086)  loss_box_reg: 0.0104 (0.0173)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3754  data: 0.0264  max mem: 3659\n",
            "Epoch: [22]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0837 (0.1294)  loss_classifier: 0.0642 (0.1078)  loss_box_reg: 0.0142 (0.0207)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3736  data: 0.0091  max mem: 3659\n",
            "Epoch: [22]  [ 30/159]  eta: 0:00:47  lr: 0.000000  loss: 0.0705 (0.1166)  loss_classifier: 0.0589 (0.0968)  loss_box_reg: 0.0128 (0.0189)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3649  data: 0.0100  max mem: 3659\n",
            "Epoch: [22]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.0687 (0.1203)  loss_classifier: 0.0589 (0.1004)  loss_box_reg: 0.0114 (0.0192)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3567  data: 0.0102  max mem: 3659\n",
            "Epoch: [22]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.0687 (0.1158)  loss_classifier: 0.0623 (0.0969)  loss_box_reg: 0.0110 (0.0182)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3745  data: 0.0096  max mem: 3659\n",
            "Epoch: [22]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0777 (0.1187)  loss_classifier: 0.0632 (0.0973)  loss_box_reg: 0.0143 (0.0205)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3529  data: 0.0101  max mem: 3659\n",
            "Epoch: [22]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.1051 (0.1204)  loss_classifier: 0.0849 (0.0988)  loss_box_reg: 0.0229 (0.0207)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3452  data: 0.0105  max mem: 3659\n",
            "Epoch: [22]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.1086 (0.1231)  loss_classifier: 0.0849 (0.1011)  loss_box_reg: 0.0252 (0.0211)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3666  data: 0.0101  max mem: 3659\n",
            "Epoch: [22]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0916 (0.1234)  loss_classifier: 0.0730 (0.1003)  loss_box_reg: 0.0209 (0.0221)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.3638  data: 0.0094  max mem: 3659\n",
            "Epoch: [22]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0843 (0.1222)  loss_classifier: 0.0670 (0.0995)  loss_box_reg: 0.0178 (0.0218)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3418  data: 0.0095  max mem: 3659\n",
            "Epoch: [22]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1166 (0.1236)  loss_classifier: 0.0922 (0.1012)  loss_box_reg: 0.0191 (0.0215)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3591  data: 0.0102  max mem: 3659\n",
            "Epoch: [22]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1127 (0.1235)  loss_classifier: 0.0916 (0.1013)  loss_box_reg: 0.0191 (0.0213)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3974  data: 0.0104  max mem: 3659\n",
            "Epoch: [22]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0948 (0.1226)  loss_classifier: 0.0741 (0.1005)  loss_box_reg: 0.0168 (0.0212)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3924  data: 0.0102  max mem: 3659\n",
            "Epoch: [22]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.0941 (0.1238)  loss_classifier: 0.0675 (0.1017)  loss_box_reg: 0.0168 (0.0211)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3942  data: 0.0107  max mem: 3659\n",
            "Epoch: [22]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1005 (0.1247)  loss_classifier: 0.0691 (0.1026)  loss_box_reg: 0.0201 (0.0210)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3909  data: 0.0109  max mem: 3659\n",
            "Epoch: [22]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1022 (0.1269)  loss_classifier: 0.0902 (0.1046)  loss_box_reg: 0.0226 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3654  data: 0.0104  max mem: 3659\n",
            "Epoch: [22] Total time: 0:00:58 (0.3696 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0866 (0.0866)  evaluator_time: 0.0038 (0.0038)  time: 0.2165  data: 0.1247  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0740 (0.0760)  evaluator_time: 0.0023 (0.0027)  time: 0.0839  data: 0.0050  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0889 s / it)\n",
            "Averaged stats: model_time: 0.0740 (0.0760)  evaluator_time: 0.0023 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [23]  [  0/159]  eta: 0:01:30  lr: 0.000000  loss: 0.0617 (0.0617)  loss_classifier: 0.0505 (0.0505)  loss_box_reg: 0.0102 (0.0102)  loss_objectness: 0.0006 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.5699  data: 0.2133  max mem: 3659\n",
            "Epoch: [23]  [ 10/159]  eta: 0:00:54  lr: 0.000000  loss: 0.0988 (0.0901)  loss_classifier: 0.0793 (0.0725)  loss_box_reg: 0.0177 (0.0168)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3634  data: 0.0280  max mem: 3659\n",
            "Epoch: [23]  [ 20/159]  eta: 0:00:52  lr: 0.000000  loss: 0.0990 (0.1030)  loss_classifier: 0.0809 (0.0865)  loss_box_reg: 0.0172 (0.0158)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3659  data: 0.0102  max mem: 3659\n",
            "Epoch: [23]  [ 30/159]  eta: 0:00:50  lr: 0.000000  loss: 0.0734 (0.1008)  loss_classifier: 0.0597 (0.0843)  loss_box_reg: 0.0115 (0.0156)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.4045  data: 0.0105  max mem: 3659\n",
            "Epoch: [23]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0622 (0.1071)  loss_classifier: 0.0503 (0.0896)  loss_box_reg: 0.0114 (0.0168)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3823  data: 0.0106  max mem: 3659\n",
            "Epoch: [23]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0871 (0.1142)  loss_classifier: 0.0640 (0.0961)  loss_box_reg: 0.0166 (0.0173)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3669  data: 0.0106  max mem: 3659\n",
            "Epoch: [23]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.1114 (0.1176)  loss_classifier: 0.0867 (0.0979)  loss_box_reg: 0.0192 (0.0188)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3902  data: 0.0106  max mem: 3659\n",
            "Epoch: [23]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1087 (0.1157)  loss_classifier: 0.0787 (0.0959)  loss_box_reg: 0.0129 (0.0190)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3830  data: 0.0110  max mem: 3659\n",
            "Epoch: [23]  [ 80/159]  eta: 0:00:30  lr: 0.000000  loss: 0.0862 (0.1209)  loss_classifier: 0.0762 (0.1003)  loss_box_reg: 0.0124 (0.0196)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3751  data: 0.0111  max mem: 3659\n",
            "Epoch: [23]  [ 90/159]  eta: 0:00:26  lr: 0.000000  loss: 0.0862 (0.1201)  loss_classifier: 0.0762 (0.0999)  loss_box_reg: 0.0146 (0.0192)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3675  data: 0.0107  max mem: 3659\n",
            "Epoch: [23]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.0891 (0.1203)  loss_classifier: 0.0664 (0.0995)  loss_box_reg: 0.0165 (0.0199)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3526  data: 0.0099  max mem: 3659\n",
            "Epoch: [23]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0846 (0.1180)  loss_classifier: 0.0664 (0.0973)  loss_box_reg: 0.0157 (0.0197)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3540  data: 0.0099  max mem: 3659\n",
            "Epoch: [23]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0986 (0.1220)  loss_classifier: 0.0690 (0.1005)  loss_box_reg: 0.0143 (0.0205)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3700  data: 0.0100  max mem: 3659\n",
            "Epoch: [23]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1080 (0.1240)  loss_classifier: 0.0946 (0.1025)  loss_box_reg: 0.0215 (0.0206)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3748  data: 0.0099  max mem: 3659\n",
            "Epoch: [23]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1492 (0.1258)  loss_classifier: 0.1261 (0.1040)  loss_box_reg: 0.0203 (0.0208)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3564  data: 0.0096  max mem: 3659\n",
            "Epoch: [23]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1335 (0.1288)  loss_classifier: 0.1050 (0.1063)  loss_box_reg: 0.0223 (0.0216)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3492  data: 0.0097  max mem: 3659\n",
            "Epoch: [23]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1257 (0.1275)  loss_classifier: 0.0926 (0.1052)  loss_box_reg: 0.0206 (0.0214)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3493  data: 0.0100  max mem: 3659\n",
            "Epoch: [23] Total time: 0:00:58 (0.3700 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0875 (0.0875)  evaluator_time: 0.0041 (0.0041)  time: 0.2198  data: 0.1265  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0738 (0.0756)  evaluator_time: 0.0022 (0.0026)  time: 0.0829  data: 0.0045  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0882 s / it)\n",
            "Averaged stats: model_time: 0.0738 (0.0756)  evaluator_time: 0.0022 (0.0026)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [24]  [  0/159]  eta: 0:01:30  lr: 0.000000  loss: 0.1051 (0.1051)  loss_classifier: 0.0745 (0.0745)  loss_box_reg: 0.0301 (0.0301)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.5674  data: 0.2023  max mem: 3659\n",
            "Epoch: [24]  [ 10/159]  eta: 0:01:00  lr: 0.000000  loss: 0.0854 (0.1203)  loss_classifier: 0.0685 (0.1011)  loss_box_reg: 0.0162 (0.0186)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.4033  data: 0.0257  max mem: 3659\n",
            "Epoch: [24]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0796 (0.1257)  loss_classifier: 0.0608 (0.1035)  loss_box_reg: 0.0150 (0.0212)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3724  data: 0.0094  max mem: 3659\n",
            "Epoch: [24]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.0828 (0.1211)  loss_classifier: 0.0620 (0.0986)  loss_box_reg: 0.0184 (0.0216)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3580  data: 0.0104  max mem: 3659\n",
            "Epoch: [24]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.0821 (0.1169)  loss_classifier: 0.0641 (0.0956)  loss_box_reg: 0.0182 (0.0203)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3725  data: 0.0096  max mem: 3659\n",
            "Epoch: [24]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0898 (0.1232)  loss_classifier: 0.0657 (0.1019)  loss_box_reg: 0.0156 (0.0204)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3896  data: 0.0095  max mem: 3659\n",
            "Epoch: [24]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.1305 (0.1275)  loss_classifier: 0.1177 (0.1056)  loss_box_reg: 0.0188 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3826  data: 0.0099  max mem: 3659\n",
            "Epoch: [24]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0818 (0.1197)  loss_classifier: 0.0672 (0.0990)  loss_box_reg: 0.0143 (0.0198)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3650  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0793 (0.1241)  loss_classifier: 0.0634 (0.1029)  loss_box_reg: 0.0144 (0.0203)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3501  data: 0.0105  max mem: 3659\n",
            "Epoch: [24]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1484 (0.1259)  loss_classifier: 0.1336 (0.1041)  loss_box_reg: 0.0219 (0.0209)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3503  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1203 (0.1303)  loss_classifier: 0.1049 (0.1081)  loss_box_reg: 0.0205 (0.0213)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3603  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1122 (0.1309)  loss_classifier: 0.0941 (0.1081)  loss_box_reg: 0.0175 (0.0218)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3539  data: 0.0105  max mem: 3659\n",
            "Epoch: [24]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0818 (0.1291)  loss_classifier: 0.0612 (0.1067)  loss_box_reg: 0.0168 (0.0215)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3598  data: 0.0100  max mem: 3659\n",
            "Epoch: [24]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0909 (0.1294)  loss_classifier: 0.0766 (0.1071)  loss_box_reg: 0.0178 (0.0214)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3749  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1196 (0.1306)  loss_classifier: 0.0953 (0.1080)  loss_box_reg: 0.0181 (0.0217)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3741  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0949 (0.1288)  loss_classifier: 0.0680 (0.1065)  loss_box_reg: 0.0168 (0.0214)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3830  data: 0.0101  max mem: 3659\n",
            "Epoch: [24]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0885 (0.1288)  loss_classifier: 0.0647 (0.1061)  loss_box_reg: 0.0135 (0.0218)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3674  data: 0.0103  max mem: 3659\n",
            "Epoch: [24] Total time: 0:00:58 (0.3696 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0884 (0.0884)  evaluator_time: 0.0040 (0.0040)  time: 0.2180  data: 0.1239  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0733 (0.0757)  evaluator_time: 0.0022 (0.0027)  time: 0.0829  data: 0.0047  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0886 s / it)\n",
            "Averaged stats: model_time: 0.0733 (0.0757)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [25]  [  0/159]  eta: 0:01:34  lr: 0.000000  loss: 0.2290 (0.2290)  loss_classifier: 0.2030 (0.2030)  loss_box_reg: 0.0250 (0.0250)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0010 (0.0010)  time: 0.5950  data: 0.1993  max mem: 3659\n",
            "Epoch: [25]  [ 10/159]  eta: 0:00:56  lr: 0.000000  loss: 0.1101 (0.1427)  loss_classifier: 0.0982 (0.1162)  loss_box_reg: 0.0250 (0.0257)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3824  data: 0.0270  max mem: 3659\n",
            "Epoch: [25]  [ 20/159]  eta: 0:00:55  lr: 0.000000  loss: 0.0970 (0.1256)  loss_classifier: 0.0741 (0.1033)  loss_box_reg: 0.0145 (0.0216)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3924  data: 0.0101  max mem: 3659\n",
            "Epoch: [25]  [ 30/159]  eta: 0:00:51  lr: 0.000000  loss: 0.0970 (0.1389)  loss_classifier: 0.0741 (0.1159)  loss_box_reg: 0.0144 (0.0222)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.4052  data: 0.0101  max mem: 3659\n",
            "Epoch: [25]  [ 40/159]  eta: 0:00:46  lr: 0.000000  loss: 0.1050 (0.1322)  loss_classifier: 0.0717 (0.1103)  loss_box_reg: 0.0145 (0.0212)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3801  data: 0.0102  max mem: 3659\n",
            "Epoch: [25]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.1059 (0.1348)  loss_classifier: 0.0867 (0.1117)  loss_box_reg: 0.0176 (0.0223)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3657  data: 0.0105  max mem: 3659\n",
            "Epoch: [25]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0971 (0.1312)  loss_classifier: 0.0783 (0.1082)  loss_box_reg: 0.0186 (0.0222)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3508  data: 0.0102  max mem: 3659\n",
            "Epoch: [25]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0885 (0.1319)  loss_classifier: 0.0574 (0.1089)  loss_box_reg: 0.0178 (0.0221)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3593  data: 0.0101  max mem: 3659\n",
            "Epoch: [25]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1039 (0.1310)  loss_classifier: 0.0807 (0.1080)  loss_box_reg: 0.0194 (0.0221)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3592  data: 0.0098  max mem: 3659\n",
            "Epoch: [25]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1039 (0.1316)  loss_classifier: 0.0883 (0.1087)  loss_box_reg: 0.0194 (0.0220)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3529  data: 0.0100  max mem: 3659\n",
            "Epoch: [25]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0999 (0.1299)  loss_classifier: 0.0883 (0.1069)  loss_box_reg: 0.0195 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3594  data: 0.0101  max mem: 3659\n",
            "Epoch: [25]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0923 (0.1298)  loss_classifier: 0.0770 (0.1071)  loss_box_reg: 0.0178 (0.0218)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3676  data: 0.0100  max mem: 3659\n",
            "Epoch: [25]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0959 (0.1336)  loss_classifier: 0.0781 (0.1106)  loss_box_reg: 0.0171 (0.0220)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3754  data: 0.0099  max mem: 3659\n",
            "Epoch: [25]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0959 (0.1331)  loss_classifier: 0.0781 (0.1103)  loss_box_reg: 0.0142 (0.0218)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3647  data: 0.0094  max mem: 3659\n",
            "Epoch: [25]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.0810 (0.1319)  loss_classifier: 0.0692 (0.1088)  loss_box_reg: 0.0117 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3599  data: 0.0100  max mem: 3659\n",
            "Epoch: [25]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0810 (0.1306)  loss_classifier: 0.0692 (0.1078)  loss_box_reg: 0.0117 (0.0217)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3454  data: 0.0106  max mem: 3659\n",
            "Epoch: [25]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0737 (0.1282)  loss_classifier: 0.0609 (0.1057)  loss_box_reg: 0.0164 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3429  data: 0.0099  max mem: 3659\n",
            "Epoch: [25] Total time: 0:00:58 (0.3674 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0871 (0.0871)  evaluator_time: 0.0041 (0.0041)  time: 0.2147  data: 0.1216  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0743 (0.0761)  evaluator_time: 0.0022 (0.0029)  time: 0.0843  data: 0.0051  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0894 s / it)\n",
            "Averaged stats: model_time: 0.0743 (0.0761)  evaluator_time: 0.0022 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [26]  [  0/159]  eta: 0:01:28  lr: 0.000000  loss: 0.0713 (0.0713)  loss_classifier: 0.0539 (0.0539)  loss_box_reg: 0.0168 (0.0168)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.5586  data: 0.2095  max mem: 3659\n",
            "Epoch: [26]  [ 10/159]  eta: 0:01:00  lr: 0.000000  loss: 0.0713 (0.1238)  loss_classifier: 0.0565 (0.1029)  loss_box_reg: 0.0147 (0.0191)  loss_objectness: 0.0000 (0.0012)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.4035  data: 0.0272  max mem: 3659\n",
            "Epoch: [26]  [ 20/159]  eta: 0:00:52  lr: 0.000000  loss: 0.0675 (0.1047)  loss_classifier: 0.0508 (0.0851)  loss_box_reg: 0.0145 (0.0182)  loss_objectness: 0.0000 (0.0009)  loss_rpn_box_reg: 0.0003 (0.0005)  time: 0.3676  data: 0.0092  max mem: 3659\n",
            "Epoch: [26]  [ 30/159]  eta: 0:00:47  lr: 0.000000  loss: 0.0695 (0.1050)  loss_classifier: 0.0542 (0.0853)  loss_box_reg: 0.0151 (0.0185)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3450  data: 0.0096  max mem: 3659\n",
            "Epoch: [26]  [ 40/159]  eta: 0:00:42  lr: 0.000000  loss: 0.0854 (0.1095)  loss_classifier: 0.0689 (0.0887)  loss_box_reg: 0.0200 (0.0197)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3424  data: 0.0098  max mem: 3659\n",
            "Epoch: [26]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.0840 (0.1137)  loss_classifier: 0.0636 (0.0913)  loss_box_reg: 0.0200 (0.0212)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3488  data: 0.0096  max mem: 3659\n",
            "Epoch: [26]  [ 60/159]  eta: 0:00:35  lr: 0.000000  loss: 0.0882 (0.1186)  loss_classifier: 0.0687 (0.0950)  loss_box_reg: 0.0173 (0.0225)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3568  data: 0.0095  max mem: 3659\n",
            "Epoch: [26]  [ 70/159]  eta: 0:00:31  lr: 0.000000  loss: 0.1015 (0.1205)  loss_classifier: 0.0809 (0.0973)  loss_box_reg: 0.0186 (0.0220)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3581  data: 0.0095  max mem: 3659\n",
            "Epoch: [26]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.1093 (0.1244)  loss_classifier: 0.0883 (0.1008)  loss_box_reg: 0.0199 (0.0224)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3679  data: 0.0093  max mem: 3659\n",
            "Epoch: [26]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1150 (0.1236)  loss_classifier: 0.0960 (0.1007)  loss_box_reg: 0.0205 (0.0217)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3825  data: 0.0094  max mem: 3659\n",
            "Epoch: [26]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1085 (0.1261)  loss_classifier: 0.0908 (0.1033)  loss_box_reg: 0.0166 (0.0217)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3724  data: 0.0100  max mem: 3659\n",
            "Epoch: [26]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1085 (0.1277)  loss_classifier: 0.0908 (0.1051)  loss_box_reg: 0.0166 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3688  data: 0.0101  max mem: 3659\n",
            "Epoch: [26]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0740 (0.1242)  loss_classifier: 0.0617 (0.1019)  loss_box_reg: 0.0129 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3722  data: 0.0104  max mem: 3659\n",
            "Epoch: [26]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0915 (0.1249)  loss_classifier: 0.0667 (0.1025)  loss_box_reg: 0.0174 (0.0214)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3723  data: 0.0107  max mem: 3659\n",
            "Epoch: [26]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.1074 (0.1236)  loss_classifier: 0.0744 (0.1016)  loss_box_reg: 0.0164 (0.0209)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3639  data: 0.0102  max mem: 3659\n",
            "Epoch: [26]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0837 (0.1229)  loss_classifier: 0.0707 (0.1011)  loss_box_reg: 0.0114 (0.0209)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3455  data: 0.0101  max mem: 3659\n",
            "Epoch: [26]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0954 (0.1270)  loss_classifier: 0.0827 (0.1045)  loss_box_reg: 0.0164 (0.0215)  loss_objectness: 0.0002 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3656  data: 0.0098  max mem: 3659\n",
            "Epoch: [26] Total time: 0:00:57 (0.3648 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0844 (0.0844)  evaluator_time: 0.0037 (0.0037)  time: 0.2186  data: 0.1288  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0741 (0.0759)  evaluator_time: 0.0022 (0.0028)  time: 0.0839  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0892 s / it)\n",
            "Averaged stats: model_time: 0.0741 (0.0759)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [27]  [  0/159]  eta: 0:01:29  lr: 0.000000  loss: 0.3086 (0.3086)  loss_classifier: 0.2554 (0.2554)  loss_box_reg: 0.0507 (0.0507)  loss_objectness: 0.0005 (0.0005)  loss_rpn_box_reg: 0.0021 (0.0021)  time: 0.5617  data: 0.2003  max mem: 3659\n",
            "Epoch: [27]  [ 10/159]  eta: 0:00:58  lr: 0.000000  loss: 0.0766 (0.1285)  loss_classifier: 0.0613 (0.1055)  loss_box_reg: 0.0151 (0.0223)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3921  data: 0.0267  max mem: 3659\n",
            "Epoch: [27]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0766 (0.1278)  loss_classifier: 0.0613 (0.1050)  loss_box_reg: 0.0151 (0.0220)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3772  data: 0.0098  max mem: 3659\n",
            "Epoch: [27]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1017 (0.1299)  loss_classifier: 0.0803 (0.1055)  loss_box_reg: 0.0178 (0.0235)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3708  data: 0.0104  max mem: 3659\n",
            "Epoch: [27]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.1017 (0.1275)  loss_classifier: 0.0798 (0.1041)  loss_box_reg: 0.0212 (0.0224)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3601  data: 0.0102  max mem: 3659\n",
            "Epoch: [27]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.0840 (0.1200)  loss_classifier: 0.0656 (0.0979)  loss_box_reg: 0.0127 (0.0210)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3418  data: 0.0101  max mem: 3659\n",
            "Epoch: [27]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0695 (0.1198)  loss_classifier: 0.0598 (0.0974)  loss_box_reg: 0.0154 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3489  data: 0.0102  max mem: 3659\n",
            "Epoch: [27]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0902 (0.1236)  loss_classifier: 0.0722 (0.1011)  loss_box_reg: 0.0173 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3586  data: 0.0105  max mem: 3659\n",
            "Epoch: [27]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.0874 (0.1295)  loss_classifier: 0.0713 (0.1054)  loss_box_reg: 0.0169 (0.0231)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3589  data: 0.0108  max mem: 3659\n",
            "Epoch: [27]  [ 90/159]  eta: 0:00:24  lr: 0.000000  loss: 0.0688 (0.1291)  loss_classifier: 0.0597 (0.1057)  loss_box_reg: 0.0114 (0.0224)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3576  data: 0.0104  max mem: 3659\n",
            "Epoch: [27]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0836 (0.1294)  loss_classifier: 0.0713 (0.1055)  loss_box_reg: 0.0147 (0.0229)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3413  data: 0.0096  max mem: 3659\n",
            "Epoch: [27]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1057 (0.1276)  loss_classifier: 0.0769 (0.1044)  loss_box_reg: 0.0178 (0.0221)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3798  data: 0.0097  max mem: 3659\n",
            "Epoch: [27]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0993 (0.1263)  loss_classifier: 0.0756 (0.1034)  loss_box_reg: 0.0136 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3989  data: 0.0102  max mem: 3659\n",
            "Epoch: [27]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0993 (0.1277)  loss_classifier: 0.0764 (0.1045)  loss_box_reg: 0.0157 (0.0221)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3554  data: 0.0105  max mem: 3659\n",
            "Epoch: [27]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.1100 (0.1256)  loss_classifier: 0.0907 (0.1030)  loss_box_reg: 0.0155 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3520  data: 0.0102  max mem: 3659\n",
            "Epoch: [27]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1216 (0.1280)  loss_classifier: 0.1041 (0.1054)  loss_box_reg: 0.0200 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3872  data: 0.0097  max mem: 3659\n",
            "Epoch: [27]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1361 (0.1289)  loss_classifier: 0.1112 (0.1059)  loss_box_reg: 0.0224 (0.0219)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3953  data: 0.0097  max mem: 3659\n",
            "Epoch: [27] Total time: 0:00:58 (0.3678 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0868 (0.0868)  evaluator_time: 0.0039 (0.0039)  time: 0.2193  data: 0.1271  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0740 (0.0757)  evaluator_time: 0.0022 (0.0028)  time: 0.0835  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0886 s / it)\n",
            "Averaged stats: model_time: 0.0740 (0.0757)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [28]  [  0/159]  eta: 0:01:26  lr: 0.000000  loss: 0.0436 (0.0436)  loss_classifier: 0.0369 (0.0369)  loss_box_reg: 0.0066 (0.0066)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0001 (0.0001)  time: 0.5423  data: 0.2134  max mem: 3659\n",
            "Epoch: [28]  [ 10/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0914 (0.0937)  loss_classifier: 0.0667 (0.0702)  loss_box_reg: 0.0209 (0.0223)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3605  data: 0.0276  max mem: 3659\n",
            "Epoch: [28]  [ 20/159]  eta: 0:00:50  lr: 0.000000  loss: 0.0914 (0.1153)  loss_classifier: 0.0667 (0.0929)  loss_box_reg: 0.0194 (0.0210)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3517  data: 0.0099  max mem: 3659\n",
            "Epoch: [28]  [ 30/159]  eta: 0:00:47  lr: 0.000000  loss: 0.0968 (0.1182)  loss_classifier: 0.0834 (0.0951)  loss_box_reg: 0.0161 (0.0214)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0006 (0.0009)  time: 0.3754  data: 0.0104  max mem: 3659\n",
            "Epoch: [28]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.1221 (0.1274)  loss_classifier: 0.0970 (0.1029)  loss_box_reg: 0.0194 (0.0230)  loss_objectness: 0.0001 (0.0006)  loss_rpn_box_reg: 0.0007 (0.0009)  time: 0.3768  data: 0.0104  max mem: 3659\n",
            "Epoch: [28]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.1592 (0.1328)  loss_classifier: 0.1415 (0.1083)  loss_box_reg: 0.0194 (0.0231)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3703  data: 0.0102  max mem: 3659\n",
            "Epoch: [28]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1312 (0.1376)  loss_classifier: 0.1009 (0.1120)  loss_box_reg: 0.0256 (0.0242)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3769  data: 0.0098  max mem: 3659\n",
            "Epoch: [28]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.1089 (0.1326)  loss_classifier: 0.0787 (0.1083)  loss_box_reg: 0.0200 (0.0231)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3680  data: 0.0104  max mem: 3659\n",
            "Epoch: [28]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0839 (0.1356)  loss_classifier: 0.0624 (0.1116)  loss_box_reg: 0.0163 (0.0228)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3582  data: 0.0103  max mem: 3659\n",
            "Epoch: [28]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0852 (0.1363)  loss_classifier: 0.0624 (0.1125)  loss_box_reg: 0.0150 (0.0226)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3581  data: 0.0100  max mem: 3659\n",
            "Epoch: [28]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1232 (0.1363)  loss_classifier: 0.1043 (0.1124)  loss_box_reg: 0.0231 (0.0227)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3814  data: 0.0101  max mem: 3659\n",
            "Epoch: [28]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1092 (0.1335)  loss_classifier: 0.0785 (0.1104)  loss_box_reg: 0.0161 (0.0220)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3965  data: 0.0099  max mem: 3659\n",
            "Epoch: [28]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0747 (0.1319)  loss_classifier: 0.0671 (0.1090)  loss_box_reg: 0.0119 (0.0218)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3844  data: 0.0107  max mem: 3659\n",
            "Epoch: [28]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0747 (0.1310)  loss_classifier: 0.0694 (0.1081)  loss_box_reg: 0.0117 (0.0218)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3713  data: 0.0112  max mem: 3659\n",
            "Epoch: [28]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1057 (0.1321)  loss_classifier: 0.0796 (0.1088)  loss_box_reg: 0.0203 (0.0223)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3526  data: 0.0103  max mem: 3659\n",
            "Epoch: [28]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1057 (0.1311)  loss_classifier: 0.0781 (0.1080)  loss_box_reg: 0.0240 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3433  data: 0.0101  max mem: 3659\n",
            "Epoch: [28]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0725 (0.1276)  loss_classifier: 0.0602 (0.1051)  loss_box_reg: 0.0108 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3442  data: 0.0099  max mem: 3659\n",
            "Epoch: [28] Total time: 0:00:58 (0.3669 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0884 (0.0884)  evaluator_time: 0.0037 (0.0037)  time: 0.2194  data: 0.1256  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0735 (0.0754)  evaluator_time: 0.0021 (0.0027)  time: 0.0832  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0882 s / it)\n",
            "Averaged stats: model_time: 0.0735 (0.0754)  evaluator_time: 0.0021 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [29]  [  0/159]  eta: 0:01:25  lr: 0.000000  loss: 0.1799 (0.1799)  loss_classifier: 0.1558 (0.1558)  loss_box_reg: 0.0233 (0.0233)  loss_objectness: 0.0005 (0.0005)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.5346  data: 0.1736  max mem: 3659\n",
            "Epoch: [29]  [ 10/159]  eta: 0:00:57  lr: 0.000000  loss: 0.0733 (0.0962)  loss_classifier: 0.0606 (0.0786)  loss_box_reg: 0.0131 (0.0165)  loss_objectness: 0.0002 (0.0005)  loss_rpn_box_reg: 0.0003 (0.0005)  time: 0.3884  data: 0.0243  max mem: 3659\n",
            "Epoch: [29]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0890 (0.1229)  loss_classifier: 0.0663 (0.1016)  loss_box_reg: 0.0156 (0.0203)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3805  data: 0.0092  max mem: 3659\n",
            "Epoch: [29]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.0962 (0.1170)  loss_classifier: 0.0735 (0.0952)  loss_box_reg: 0.0191 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3649  data: 0.0098  max mem: 3659\n",
            "Epoch: [29]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.0810 (0.1106)  loss_classifier: 0.0642 (0.0894)  loss_box_reg: 0.0146 (0.0202)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3421  data: 0.0099  max mem: 3659\n",
            "Epoch: [29]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.0846 (0.1121)  loss_classifier: 0.0642 (0.0908)  loss_box_reg: 0.0178 (0.0202)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3526  data: 0.0100  max mem: 3659\n",
            "Epoch: [29]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1209 (0.1169)  loss_classifier: 0.0995 (0.0954)  loss_box_reg: 0.0205 (0.0205)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3626  data: 0.0103  max mem: 3659\n",
            "Epoch: [29]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0959 (0.1146)  loss_classifier: 0.0844 (0.0925)  loss_box_reg: 0.0169 (0.0209)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3752  data: 0.0099  max mem: 3659\n",
            "Epoch: [29]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0651 (0.1116)  loss_classifier: 0.0563 (0.0907)  loss_box_reg: 0.0110 (0.0198)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3762  data: 0.0097  max mem: 3659\n",
            "Epoch: [29]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0711 (0.1123)  loss_classifier: 0.0591 (0.0912)  loss_box_reg: 0.0139 (0.0200)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3528  data: 0.0097  max mem: 3659\n",
            "Epoch: [29]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1160 (0.1179)  loss_classifier: 0.0875 (0.0962)  loss_box_reg: 0.0229 (0.0206)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3522  data: 0.0104  max mem: 3659\n",
            "Epoch: [29]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1487 (0.1247)  loss_classifier: 0.1323 (0.1024)  loss_box_reg: 0.0265 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3607  data: 0.0106  max mem: 3659\n",
            "Epoch: [29]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1479 (0.1262)  loss_classifier: 0.1233 (0.1037)  loss_box_reg: 0.0194 (0.0215)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3584  data: 0.0104  max mem: 3659\n",
            "Epoch: [29]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0701 (0.1232)  loss_classifier: 0.0596 (0.1013)  loss_box_reg: 0.0132 (0.0208)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3661  data: 0.0106  max mem: 3659\n",
            "Epoch: [29]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.0804 (0.1247)  loss_classifier: 0.0740 (0.1024)  loss_box_reg: 0.0132 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3821  data: 0.0104  max mem: 3659\n",
            "Epoch: [29]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1117 (0.1253)  loss_classifier: 0.0875 (0.1032)  loss_box_reg: 0.0152 (0.0211)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3836  data: 0.0103  max mem: 3659\n",
            "Epoch: [29]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1214 (0.1266)  loss_classifier: 0.1059 (0.1044)  loss_box_reg: 0.0163 (0.0212)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3604  data: 0.0105  max mem: 3659\n",
            "Epoch: [29] Total time: 0:00:58 (0.3663 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0848 (0.0848)  evaluator_time: 0.0039 (0.0039)  time: 0.2100  data: 0.1197  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0736 (0.0754)  evaluator_time: 0.0022 (0.0027)  time: 0.0833  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0881 s / it)\n",
            "Averaged stats: model_time: 0.0736 (0.0754)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [30]  [  0/159]  eta: 0:01:49  lr: 0.000000  loss: 0.1456 (0.1456)  loss_classifier: 0.1204 (0.1204)  loss_box_reg: 0.0247 (0.0247)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.6903  data: 0.1863  max mem: 3659\n",
            "Epoch: [30]  [ 10/159]  eta: 0:01:02  lr: 0.000000  loss: 0.0654 (0.1005)  loss_classifier: 0.0551 (0.0830)  loss_box_reg: 0.0088 (0.0169)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0002 (0.0005)  time: 0.4162  data: 0.0256  max mem: 3659\n",
            "Epoch: [30]  [ 20/159]  eta: 0:00:55  lr: 0.000000  loss: 0.0595 (0.1004)  loss_classifier: 0.0490 (0.0815)  loss_box_reg: 0.0099 (0.0182)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0005)  time: 0.3834  data: 0.0097  max mem: 3659\n",
            "Epoch: [30]  [ 30/159]  eta: 0:00:50  lr: 0.000000  loss: 0.0765 (0.1118)  loss_classifier: 0.0652 (0.0906)  loss_box_reg: 0.0132 (0.0204)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.3768  data: 0.0101  max mem: 3659\n",
            "Epoch: [30]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0943 (0.1166)  loss_classifier: 0.0792 (0.0945)  loss_box_reg: 0.0165 (0.0213)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3739  data: 0.0105  max mem: 3659\n",
            "Epoch: [30]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.1002 (0.1209)  loss_classifier: 0.0797 (0.0976)  loss_box_reg: 0.0184 (0.0224)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3650  data: 0.0100  max mem: 3659\n",
            "Epoch: [30]  [ 60/159]  eta: 0:00:38  lr: 0.000000  loss: 0.1023 (0.1193)  loss_classifier: 0.0909 (0.0964)  loss_box_reg: 0.0181 (0.0219)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3807  data: 0.0101  max mem: 3659\n",
            "Epoch: [30]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1007 (0.1197)  loss_classifier: 0.0752 (0.0971)  loss_box_reg: 0.0157 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3732  data: 0.0111  max mem: 3659\n",
            "Epoch: [30]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1132 (0.1222)  loss_classifier: 0.0926 (0.0995)  loss_box_reg: 0.0188 (0.0217)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3494  data: 0.0102  max mem: 3659\n",
            "Epoch: [30]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1333 (0.1255)  loss_classifier: 0.1056 (0.1023)  loss_box_reg: 0.0192 (0.0221)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3571  data: 0.0094  max mem: 3659\n",
            "Epoch: [30]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1555 (0.1285)  loss_classifier: 0.1231 (0.1054)  loss_box_reg: 0.0234 (0.0220)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3601  data: 0.0103  max mem: 3659\n",
            "Epoch: [30]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0915 (0.1259)  loss_classifier: 0.0765 (0.1033)  loss_box_reg: 0.0146 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3674  data: 0.0103  max mem: 3659\n",
            "Epoch: [30]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0793 (0.1244)  loss_classifier: 0.0663 (0.1016)  loss_box_reg: 0.0141 (0.0218)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3648  data: 0.0100  max mem: 3659\n",
            "Epoch: [30]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0793 (0.1257)  loss_classifier: 0.0600 (0.1032)  loss_box_reg: 0.0141 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3458  data: 0.0100  max mem: 3659\n",
            "Epoch: [30]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.0720 (0.1240)  loss_classifier: 0.0600 (0.1019)  loss_box_reg: 0.0145 (0.0211)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3457  data: 0.0096  max mem: 3659\n",
            "Epoch: [30]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0910 (0.1242)  loss_classifier: 0.0710 (0.1023)  loss_box_reg: 0.0145 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3571  data: 0.0095  max mem: 3659\n",
            "Epoch: [30]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1386 (0.1267)  loss_classifier: 0.1019 (0.1044)  loss_box_reg: 0.0165 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3574  data: 0.0095  max mem: 3659\n",
            "Epoch: [30] Total time: 0:00:58 (0.3674 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0843 (0.0843)  evaluator_time: 0.0039 (0.0039)  time: 0.2089  data: 0.1188  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0732 (0.0753)  evaluator_time: 0.0022 (0.0027)  time: 0.0827  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0881 s / it)\n",
            "Averaged stats: model_time: 0.0732 (0.0753)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [31]  [  0/159]  eta: 0:01:49  lr: 0.000000  loss: 0.1931 (0.1931)  loss_classifier: 0.1656 (0.1656)  loss_box_reg: 0.0257 (0.0257)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0016 (0.0016)  time: 0.6892  data: 0.1989  max mem: 3659\n",
            "Epoch: [31]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1538 (0.1275)  loss_classifier: 0.0989 (0.1029)  loss_box_reg: 0.0227 (0.0230)  loss_objectness: 0.0001 (0.0008)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3731  data: 0.0255  max mem: 3659\n",
            "Epoch: [31]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.1370 (0.1343)  loss_classifier: 0.1122 (0.1091)  loss_box_reg: 0.0214 (0.0240)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3734  data: 0.0089  max mem: 3659\n",
            "Epoch: [31]  [ 30/159]  eta: 0:00:50  lr: 0.000000  loss: 0.1089 (0.1312)  loss_classifier: 0.0967 (0.1085)  loss_box_reg: 0.0158 (0.0217)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.4039  data: 0.0100  max mem: 3659\n",
            "Epoch: [31]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0688 (0.1191)  loss_classifier: 0.0513 (0.0983)  loss_box_reg: 0.0118 (0.0198)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3810  data: 0.0108  max mem: 3659\n",
            "Epoch: [31]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0688 (0.1234)  loss_classifier: 0.0578 (0.1025)  loss_box_reg: 0.0114 (0.0200)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3664  data: 0.0109  max mem: 3659\n",
            "Epoch: [31]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0739 (0.1163)  loss_classifier: 0.0581 (0.0961)  loss_box_reg: 0.0140 (0.0193)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3737  data: 0.0106  max mem: 3659\n",
            "Epoch: [31]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0705 (0.1208)  loss_classifier: 0.0547 (0.0999)  loss_box_reg: 0.0142 (0.0200)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3575  data: 0.0101  max mem: 3659\n",
            "Epoch: [31]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1048 (0.1241)  loss_classifier: 0.0816 (0.1015)  loss_box_reg: 0.0197 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3341  data: 0.0094  max mem: 3659\n",
            "Epoch: [31]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0998 (0.1249)  loss_classifier: 0.0754 (0.1026)  loss_box_reg: 0.0179 (0.0213)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3446  data: 0.0100  max mem: 3659\n",
            "Epoch: [31]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0686 (0.1214)  loss_classifier: 0.0566 (0.0998)  loss_box_reg: 0.0115 (0.0205)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3751  data: 0.0103  max mem: 3659\n",
            "Epoch: [31]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0673 (0.1196)  loss_classifier: 0.0561 (0.0980)  loss_box_reg: 0.0133 (0.0206)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3961  data: 0.0108  max mem: 3659\n",
            "Epoch: [31]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0751 (0.1172)  loss_classifier: 0.0657 (0.0960)  loss_box_reg: 0.0147 (0.0203)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3829  data: 0.0111  max mem: 3659\n",
            "Epoch: [31]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1012 (0.1208)  loss_classifier: 0.0877 (0.0993)  loss_box_reg: 0.0147 (0.0205)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3537  data: 0.0098  max mem: 3659\n",
            "Epoch: [31]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1328 (0.1233)  loss_classifier: 0.1067 (0.1012)  loss_box_reg: 0.0253 (0.0211)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3515  data: 0.0099  max mem: 3659\n",
            "Epoch: [31]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1428 (0.1265)  loss_classifier: 0.1223 (0.1039)  loss_box_reg: 0.0264 (0.0216)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0009 (0.0007)  time: 0.3505  data: 0.0102  max mem: 3659\n",
            "Epoch: [31]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1318 (0.1291)  loss_classifier: 0.1111 (0.1061)  loss_box_reg: 0.0195 (0.0219)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3657  data: 0.0099  max mem: 3659\n",
            "Epoch: [31] Total time: 0:00:58 (0.3692 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0833 (0.0833)  evaluator_time: 0.0037 (0.0037)  time: 0.2200  data: 0.1314  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0757)  evaluator_time: 0.0022 (0.0028)  time: 0.0831  data: 0.0048  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0886 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0757)  evaluator_time: 0.0022 (0.0028)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [32]  [  0/159]  eta: 0:01:48  lr: 0.000000  loss: 0.2131 (0.2131)  loss_classifier: 0.1682 (0.1682)  loss_box_reg: 0.0444 (0.0444)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.6831  data: 0.1842  max mem: 3659\n",
            "Epoch: [32]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1340 (0.1278)  loss_classifier: 0.0936 (0.0989)  loss_box_reg: 0.0273 (0.0274)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0010)  time: 0.3743  data: 0.0249  max mem: 3659\n",
            "Epoch: [32]  [ 20/159]  eta: 0:00:51  lr: 0.000000  loss: 0.1139 (0.1233)  loss_classifier: 0.0798 (0.1011)  loss_box_reg: 0.0178 (0.0211)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3526  data: 0.0097  max mem: 3659\n",
            "Epoch: [32]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1151 (0.1357)  loss_classifier: 0.0893 (0.1124)  loss_box_reg: 0.0149 (0.0223)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3779  data: 0.0102  max mem: 3659\n",
            "Epoch: [32]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.1318 (0.1485)  loss_classifier: 0.1147 (0.1222)  loss_box_reg: 0.0253 (0.0251)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0009)  time: 0.3685  data: 0.0099  max mem: 3659\n",
            "Epoch: [32]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.1551 (0.1476)  loss_classifier: 0.1243 (0.1217)  loss_box_reg: 0.0227 (0.0246)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.3434  data: 0.0098  max mem: 3659\n",
            "Epoch: [32]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1073 (0.1478)  loss_classifier: 0.0949 (0.1230)  loss_box_reg: 0.0189 (0.0236)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3839  data: 0.0099  max mem: 3659\n",
            "Epoch: [32]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1032 (0.1431)  loss_classifier: 0.0846 (0.1194)  loss_box_reg: 0.0150 (0.0226)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.4063  data: 0.0102  max mem: 3659\n",
            "Epoch: [32]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0806 (0.1371)  loss_classifier: 0.0618 (0.1143)  loss_box_reg: 0.0131 (0.0217)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3806  data: 0.0102  max mem: 3659\n",
            "Epoch: [32]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0877 (0.1363)  loss_classifier: 0.0580 (0.1131)  loss_box_reg: 0.0184 (0.0221)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3727  data: 0.0101  max mem: 3659\n",
            "Epoch: [32]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0889 (0.1390)  loss_classifier: 0.0580 (0.1144)  loss_box_reg: 0.0252 (0.0234)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3489  data: 0.0097  max mem: 3659\n",
            "Epoch: [32]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1281 (0.1367)  loss_classifier: 0.0911 (0.1123)  loss_box_reg: 0.0208 (0.0232)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3409  data: 0.0093  max mem: 3659\n",
            "Epoch: [32]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0863 (0.1322)  loss_classifier: 0.0703 (0.1081)  loss_box_reg: 0.0162 (0.0230)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3569  data: 0.0095  max mem: 3659\n",
            "Epoch: [32]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0718 (0.1302)  loss_classifier: 0.0551 (0.1068)  loss_box_reg: 0.0152 (0.0223)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3503  data: 0.0100  max mem: 3659\n",
            "Epoch: [32]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.0762 (0.1302)  loss_classifier: 0.0656 (0.1070)  loss_box_reg: 0.0146 (0.0221)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3575  data: 0.0097  max mem: 3659\n",
            "Epoch: [32]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0762 (0.1285)  loss_classifier: 0.0625 (0.1057)  loss_box_reg: 0.0146 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3959  data: 0.0096  max mem: 3659\n",
            "Epoch: [32]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0923 (0.1267)  loss_classifier: 0.0719 (0.1042)  loss_box_reg: 0.0159 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3874  data: 0.0095  max mem: 3659\n",
            "Epoch: [32] Total time: 0:00:58 (0.3691 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0844 (0.0844)  evaluator_time: 0.0037 (0.0037)  time: 0.2154  data: 0.1255  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0734 (0.0750)  evaluator_time: 0.0021 (0.0027)  time: 0.0826  data: 0.0047  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0876 s / it)\n",
            "Averaged stats: model_time: 0.0734 (0.0750)  evaluator_time: 0.0021 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [33]  [  0/159]  eta: 0:01:34  lr: 0.000000  loss: 0.1246 (0.1246)  loss_classifier: 0.1029 (0.1029)  loss_box_reg: 0.0209 (0.0209)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.5914  data: 0.2459  max mem: 3659\n",
            "Epoch: [33]  [ 10/159]  eta: 0:00:52  lr: 0.000000  loss: 0.0815 (0.1003)  loss_classifier: 0.0646 (0.0802)  loss_box_reg: 0.0179 (0.0190)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.3501  data: 0.0305  max mem: 3659\n",
            "Epoch: [33]  [ 20/159]  eta: 0:00:51  lr: 0.000000  loss: 0.1013 (0.1295)  loss_classifier: 0.0720 (0.1077)  loss_box_reg: 0.0179 (0.0206)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0008)  time: 0.3567  data: 0.0091  max mem: 3659\n",
            "Epoch: [33]  [ 30/159]  eta: 0:00:47  lr: 0.000000  loss: 0.0995 (0.1297)  loss_classifier: 0.0738 (0.1068)  loss_box_reg: 0.0157 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3749  data: 0.0094  max mem: 3659\n",
            "Epoch: [33]  [ 40/159]  eta: 0:00:43  lr: 0.000000  loss: 0.0892 (0.1350)  loss_classifier: 0.0714 (0.1119)  loss_box_reg: 0.0165 (0.0222)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3674  data: 0.0099  max mem: 3659\n",
            "Epoch: [33]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.1100 (0.1328)  loss_classifier: 0.0904 (0.1103)  loss_box_reg: 0.0176 (0.0216)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3655  data: 0.0101  max mem: 3659\n",
            "Epoch: [33]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0749 (0.1255)  loss_classifier: 0.0650 (0.1041)  loss_box_reg: 0.0159 (0.0205)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3663  data: 0.0105  max mem: 3659\n",
            "Epoch: [33]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0749 (0.1240)  loss_classifier: 0.0621 (0.1026)  loss_box_reg: 0.0126 (0.0205)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3746  data: 0.0104  max mem: 3659\n",
            "Epoch: [33]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.0895 (0.1246)  loss_classifier: 0.0664 (0.1030)  loss_box_reg: 0.0156 (0.0208)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3588  data: 0.0101  max mem: 3659\n",
            "Epoch: [33]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1179 (0.1255)  loss_classifier: 0.0942 (0.1039)  loss_box_reg: 0.0213 (0.0207)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3589  data: 0.0104  max mem: 3659\n",
            "Epoch: [33]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1009 (0.1240)  loss_classifier: 0.0865 (0.1022)  loss_box_reg: 0.0213 (0.0208)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3746  data: 0.0102  max mem: 3659\n",
            "Epoch: [33]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1009 (0.1247)  loss_classifier: 0.0794 (0.1021)  loss_box_reg: 0.0211 (0.0217)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3690  data: 0.0101  max mem: 3659\n",
            "Epoch: [33]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0836 (0.1242)  loss_classifier: 0.0783 (0.1017)  loss_box_reg: 0.0175 (0.0216)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3766  data: 0.0098  max mem: 3659\n",
            "Epoch: [33]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0760 (0.1235)  loss_classifier: 0.0586 (0.1012)  loss_box_reg: 0.0139 (0.0214)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3894  data: 0.0100  max mem: 3659\n",
            "Epoch: [33]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1004 (0.1276)  loss_classifier: 0.0848 (0.1052)  loss_box_reg: 0.0147 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3817  data: 0.0103  max mem: 3659\n",
            "Epoch: [33]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0791 (0.1238)  loss_classifier: 0.0611 (0.1020)  loss_box_reg: 0.0143 (0.0209)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3657  data: 0.0105  max mem: 3659\n",
            "Epoch: [33]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0826 (0.1272)  loss_classifier: 0.0717 (0.1045)  loss_box_reg: 0.0170 (0.0217)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3758  data: 0.0106  max mem: 3659\n",
            "Epoch: [33] Total time: 0:00:58 (0.3702 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0866 (0.0866)  evaluator_time: 0.0052 (0.0052)  time: 0.2222  data: 0.1288  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0740 (0.0759)  evaluator_time: 0.0022 (0.0029)  time: 0.0840  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0893 s / it)\n",
            "Averaged stats: model_time: 0.0740 (0.0759)  evaluator_time: 0.0022 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [34]  [  0/159]  eta: 0:02:08  lr: 0.000000  loss: 0.3029 (0.3029)  loss_classifier: 0.2771 (0.2771)  loss_box_reg: 0.0248 (0.0248)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0009 (0.0009)  time: 0.8099  data: 0.3149  max mem: 3659\n",
            "Epoch: [34]  [ 10/159]  eta: 0:00:59  lr: 0.000000  loss: 0.1565 (0.1648)  loss_classifier: 0.1333 (0.1398)  loss_box_reg: 0.0248 (0.0242)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0006)  time: 0.4002  data: 0.0368  max mem: 3659\n",
            "Epoch: [34]  [ 20/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1542 (0.1523)  loss_classifier: 0.1213 (0.1268)  loss_box_reg: 0.0230 (0.0245)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.3817  data: 0.0094  max mem: 3659\n",
            "Epoch: [34]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.0957 (0.1460)  loss_classifier: 0.0842 (0.1216)  loss_box_reg: 0.0158 (0.0235)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0008 (0.0008)  time: 0.3654  data: 0.0095  max mem: 3659\n",
            "Epoch: [34]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.0943 (0.1396)  loss_classifier: 0.0782 (0.1164)  loss_box_reg: 0.0140 (0.0223)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3497  data: 0.0095  max mem: 3659\n",
            "Epoch: [34]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.0836 (0.1294)  loss_classifier: 0.0673 (0.1070)  loss_box_reg: 0.0164 (0.0216)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3649  data: 0.0096  max mem: 3659\n",
            "Epoch: [34]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0954 (0.1310)  loss_classifier: 0.0693 (0.1079)  loss_box_reg: 0.0230 (0.0222)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3422  data: 0.0094  max mem: 3659\n",
            "Epoch: [34]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1220 (0.1374)  loss_classifier: 0.1026 (0.1142)  loss_box_reg: 0.0204 (0.0222)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0008 (0.0007)  time: 0.3744  data: 0.0095  max mem: 3659\n",
            "Epoch: [34]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1089 (0.1332)  loss_classifier: 0.0989 (0.1105)  loss_box_reg: 0.0151 (0.0217)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3896  data: 0.0102  max mem: 3659\n",
            "Epoch: [34]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0678 (0.1282)  loss_classifier: 0.0555 (0.1056)  loss_box_reg: 0.0114 (0.0217)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3593  data: 0.0105  max mem: 3659\n",
            "Epoch: [34]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0844 (0.1286)  loss_classifier: 0.0728 (0.1062)  loss_box_reg: 0.0114 (0.0215)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3784  data: 0.0105  max mem: 3659\n",
            "Epoch: [34]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1070 (0.1272)  loss_classifier: 0.0839 (0.1049)  loss_box_reg: 0.0160 (0.0213)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3764  data: 0.0099  max mem: 3659\n",
            "Epoch: [34]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.1039 (0.1282)  loss_classifier: 0.0797 (0.1058)  loss_box_reg: 0.0212 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3787  data: 0.0093  max mem: 3659\n",
            "Epoch: [34]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0924 (0.1272)  loss_classifier: 0.0797 (0.1054)  loss_box_reg: 0.0203 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3865  data: 0.0095  max mem: 3659\n",
            "Epoch: [34]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.0713 (0.1249)  loss_classifier: 0.0555 (0.1035)  loss_box_reg: 0.0101 (0.0205)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0002 (0.0007)  time: 0.3795  data: 0.0094  max mem: 3659\n",
            "Epoch: [34]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0776 (0.1251)  loss_classifier: 0.0662 (0.1034)  loss_box_reg: 0.0134 (0.0208)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3728  data: 0.0093  max mem: 3659\n",
            "Epoch: [34]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1292 (0.1283)  loss_classifier: 0.1074 (0.1054)  loss_box_reg: 0.0208 (0.0219)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3505  data: 0.0100  max mem: 3659\n",
            "Epoch: [34] Total time: 0:00:59 (0.3716 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0838 (0.0838)  evaluator_time: 0.0040 (0.0040)  time: 0.2233  data: 0.1338  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0759)  evaluator_time: 0.0023 (0.0029)  time: 0.0836  data: 0.0051  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0896 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0759)  evaluator_time: 0.0023 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [35]  [  0/159]  eta: 0:02:06  lr: 0.000000  loss: 0.0597 (0.0597)  loss_classifier: 0.0516 (0.0516)  loss_box_reg: 0.0078 (0.0078)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0002 (0.0002)  time: 0.7931  data: 0.3032  max mem: 3659\n",
            "Epoch: [35]  [ 10/159]  eta: 0:01:03  lr: 0.000000  loss: 0.1124 (0.1348)  loss_classifier: 0.0927 (0.1118)  loss_box_reg: 0.0191 (0.0219)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0009)  time: 0.4252  data: 0.0350  max mem: 3659\n",
            "Epoch: [35]  [ 20/159]  eta: 0:00:55  lr: 0.000000  loss: 0.0860 (0.1201)  loss_classifier: 0.0687 (0.0987)  loss_box_reg: 0.0152 (0.0204)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0008)  time: 0.3804  data: 0.0093  max mem: 3659\n",
            "Epoch: [35]  [ 30/159]  eta: 0:00:50  lr: 0.000000  loss: 0.0805 (0.1172)  loss_classifier: 0.0683 (0.0969)  loss_box_reg: 0.0152 (0.0195)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3738  data: 0.0102  max mem: 3659\n",
            "Epoch: [35]  [ 40/159]  eta: 0:00:46  lr: 0.000000  loss: 0.0769 (0.1116)  loss_classifier: 0.0644 (0.0920)  loss_box_reg: 0.0149 (0.0188)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3816  data: 0.0100  max mem: 3659\n",
            "Epoch: [35]  [ 50/159]  eta: 0:00:42  lr: 0.000000  loss: 0.0715 (0.1128)  loss_classifier: 0.0558 (0.0928)  loss_box_reg: 0.0118 (0.0189)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0007 (0.0008)  time: 0.3811  data: 0.0099  max mem: 3659\n",
            "Epoch: [35]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.0718 (0.1107)  loss_classifier: 0.0569 (0.0902)  loss_box_reg: 0.0189 (0.0194)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3656  data: 0.0094  max mem: 3659\n",
            "Epoch: [35]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.0852 (0.1120)  loss_classifier: 0.0667 (0.0912)  loss_box_reg: 0.0185 (0.0198)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3496  data: 0.0094  max mem: 3659\n",
            "Epoch: [35]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1086 (0.1142)  loss_classifier: 0.0895 (0.0929)  loss_box_reg: 0.0142 (0.0202)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3503  data: 0.0098  max mem: 3659\n",
            "Epoch: [35]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.1323 (0.1194)  loss_classifier: 0.0947 (0.0980)  loss_box_reg: 0.0178 (0.0204)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3750  data: 0.0102  max mem: 3659\n",
            "Epoch: [35]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.1610 (0.1284)  loss_classifier: 0.1428 (0.1060)  loss_box_reg: 0.0199 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3824  data: 0.0100  max mem: 3659\n",
            "Epoch: [35]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1161 (0.1264)  loss_classifier: 0.0940 (0.1044)  loss_box_reg: 0.0167 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3811  data: 0.0100  max mem: 3659\n",
            "Epoch: [35]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0712 (0.1242)  loss_classifier: 0.0578 (0.1022)  loss_box_reg: 0.0130 (0.0210)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3731  data: 0.0101  max mem: 3659\n",
            "Epoch: [35]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1038 (0.1259)  loss_classifier: 0.0698 (0.1036)  loss_box_reg: 0.0176 (0.0213)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3499  data: 0.0098  max mem: 3659\n",
            "Epoch: [35]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1130 (0.1274)  loss_classifier: 0.0953 (0.1048)  loss_box_reg: 0.0160 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3675  data: 0.0103  max mem: 3659\n",
            "Epoch: [35]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1106 (0.1273)  loss_classifier: 0.0898 (0.1047)  loss_box_reg: 0.0160 (0.0216)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3845  data: 0.0106  max mem: 3659\n",
            "Epoch: [35]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1359 (0.1280)  loss_classifier: 0.1082 (0.1055)  loss_box_reg: 0.0188 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3832  data: 0.0105  max mem: 3659\n",
            "Epoch: [35] Total time: 0:00:59 (0.3757 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0836 (0.0836)  evaluator_time: 0.0038 (0.0038)  time: 0.2247  data: 0.1356  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0741 (0.0760)  evaluator_time: 0.0022 (0.0027)  time: 0.0837  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0895 s / it)\n",
            "Averaged stats: model_time: 0.0741 (0.0760)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [36]  [  0/159]  eta: 0:01:28  lr: 0.000000  loss: 0.2162 (0.2162)  loss_classifier: 0.1782 (0.1782)  loss_box_reg: 0.0371 (0.0371)  loss_objectness: 0.0002 (0.0002)  loss_rpn_box_reg: 0.0006 (0.0006)  time: 0.5571  data: 0.2050  max mem: 3659\n",
            "Epoch: [36]  [ 10/159]  eta: 0:00:56  lr: 0.000000  loss: 0.0855 (0.1347)  loss_classifier: 0.0723 (0.1097)  loss_box_reg: 0.0126 (0.0228)  loss_objectness: 0.0001 (0.0013)  loss_rpn_box_reg: 0.0005 (0.0009)  time: 0.3786  data: 0.0281  max mem: 3659\n",
            "Epoch: [36]  [ 20/159]  eta: 0:00:53  lr: 0.000000  loss: 0.0776 (0.1093)  loss_classifier: 0.0661 (0.0904)  loss_box_reg: 0.0100 (0.0175)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3744  data: 0.0097  max mem: 3659\n",
            "Epoch: [36]  [ 30/159]  eta: 0:00:49  lr: 0.000000  loss: 0.0892 (0.1168)  loss_classifier: 0.0735 (0.0954)  loss_box_reg: 0.0113 (0.0198)  loss_objectness: 0.0001 (0.0009)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3895  data: 0.0100  max mem: 3659\n",
            "Epoch: [36]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.0950 (0.1103)  loss_classifier: 0.0735 (0.0898)  loss_box_reg: 0.0153 (0.0191)  loss_objectness: 0.0001 (0.0007)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3740  data: 0.0106  max mem: 3659\n",
            "Epoch: [36]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.0926 (0.1209)  loss_classifier: 0.0704 (0.0996)  loss_box_reg: 0.0153 (0.0201)  loss_objectness: 0.0000 (0.0006)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3715  data: 0.0097  max mem: 3659\n",
            "Epoch: [36]  [ 60/159]  eta: 0:00:37  lr: 0.000000  loss: 0.1051 (0.1255)  loss_classifier: 0.0741 (0.1044)  loss_box_reg: 0.0170 (0.0200)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3804  data: 0.0105  max mem: 3659\n",
            "Epoch: [36]  [ 70/159]  eta: 0:00:33  lr: 0.000000  loss: 0.1051 (0.1319)  loss_classifier: 0.0943 (0.1100)  loss_box_reg: 0.0170 (0.0208)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3832  data: 0.0113  max mem: 3659\n",
            "Epoch: [36]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.1100 (0.1311)  loss_classifier: 0.0971 (0.1093)  loss_box_reg: 0.0145 (0.0208)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3754  data: 0.0105  max mem: 3659\n",
            "Epoch: [36]  [ 90/159]  eta: 0:00:26  lr: 0.000000  loss: 0.1119 (0.1301)  loss_classifier: 0.0888 (0.1080)  loss_box_reg: 0.0170 (0.0210)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3674  data: 0.0106  max mem: 3659\n",
            "Epoch: [36]  [100/159]  eta: 0:00:22  lr: 0.000000  loss: 0.1370 (0.1308)  loss_classifier: 0.0916 (0.1084)  loss_box_reg: 0.0231 (0.0213)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3900  data: 0.0108  max mem: 3659\n",
            "Epoch: [36]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.0930 (0.1280)  loss_classifier: 0.0727 (0.1059)  loss_box_reg: 0.0234 (0.0210)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3744  data: 0.0108  max mem: 3659\n",
            "Epoch: [36]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0931 (0.1293)  loss_classifier: 0.0762 (0.1065)  loss_box_reg: 0.0185 (0.0217)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3446  data: 0.0105  max mem: 3659\n",
            "Epoch: [36]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1078 (0.1289)  loss_classifier: 0.0776 (0.1063)  loss_box_reg: 0.0179 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3506  data: 0.0096  max mem: 3659\n",
            "Epoch: [36]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1085 (0.1296)  loss_classifier: 0.0747 (0.1065)  loss_box_reg: 0.0189 (0.0220)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3559  data: 0.0091  max mem: 3659\n",
            "Epoch: [36]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0923 (0.1277)  loss_classifier: 0.0669 (0.1049)  loss_box_reg: 0.0189 (0.0217)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3556  data: 0.0088  max mem: 3659\n",
            "Epoch: [36]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0747 (0.1274)  loss_classifier: 0.0627 (0.1050)  loss_box_reg: 0.0139 (0.0213)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3711  data: 0.0091  max mem: 3659\n",
            "Epoch: [36] Total time: 0:00:59 (0.3729 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0845 (0.0845)  evaluator_time: 0.0040 (0.0040)  time: 0.2207  data: 0.1305  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0737 (0.0754)  evaluator_time: 0.0022 (0.0027)  time: 0.0833  data: 0.0050  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0887 s / it)\n",
            "Averaged stats: model_time: 0.0737 (0.0754)  evaluator_time: 0.0022 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [37]  [  0/159]  eta: 0:01:17  lr: 0.000000  loss: 0.1058 (0.1058)  loss_classifier: 0.0738 (0.0738)  loss_box_reg: 0.0310 (0.0310)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0009 (0.0009)  time: 0.4896  data: 0.1482  max mem: 3659\n",
            "Epoch: [37]  [ 10/159]  eta: 0:00:59  lr: 0.000000  loss: 0.0714 (0.0939)  loss_classifier: 0.0677 (0.0808)  loss_box_reg: 0.0138 (0.0126)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.4007  data: 0.0221  max mem: 3659\n",
            "Epoch: [37]  [ 20/159]  eta: 0:00:54  lr: 0.000000  loss: 0.0792 (0.1197)  loss_classifier: 0.0615 (0.1002)  loss_box_reg: 0.0149 (0.0185)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0004 (0.0005)  time: 0.3834  data: 0.0094  max mem: 3659\n",
            "Epoch: [37]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.0804 (0.1173)  loss_classifier: 0.0639 (0.0984)  loss_box_reg: 0.0162 (0.0180)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0005)  time: 0.3679  data: 0.0105  max mem: 3659\n",
            "Epoch: [37]  [ 40/159]  eta: 0:00:45  lr: 0.000000  loss: 0.1001 (0.1287)  loss_classifier: 0.0821 (0.1064)  loss_box_reg: 0.0173 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3686  data: 0.0108  max mem: 3659\n",
            "Epoch: [37]  [ 50/159]  eta: 0:00:41  lr: 0.000000  loss: 0.1357 (0.1280)  loss_classifier: 0.1053 (0.1053)  loss_box_reg: 0.0184 (0.0217)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3750  data: 0.0100  max mem: 3659\n",
            "Epoch: [37]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1211 (0.1319)  loss_classifier: 0.1034 (0.1090)  loss_box_reg: 0.0158 (0.0220)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3576  data: 0.0098  max mem: 3659\n",
            "Epoch: [37]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0809 (0.1280)  loss_classifier: 0.0676 (0.1054)  loss_box_reg: 0.0129 (0.0215)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3517  data: 0.0106  max mem: 3659\n",
            "Epoch: [37]  [ 80/159]  eta: 0:00:29  lr: 0.000000  loss: 0.0817 (0.1266)  loss_classifier: 0.0676 (0.1042)  loss_box_reg: 0.0132 (0.0214)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3699  data: 0.0112  max mem: 3659\n",
            "Epoch: [37]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0850 (0.1272)  loss_classifier: 0.0700 (0.1049)  loss_box_reg: 0.0147 (0.0214)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3605  data: 0.0105  max mem: 3659\n",
            "Epoch: [37]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1044 (0.1269)  loss_classifier: 0.0806 (0.1046)  loss_box_reg: 0.0191 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3347  data: 0.0097  max mem: 3659\n",
            "Epoch: [37]  [110/159]  eta: 0:00:18  lr: 0.000000  loss: 0.1044 (0.1281)  loss_classifier: 0.0806 (0.1060)  loss_box_reg: 0.0195 (0.0210)  loss_objectness: 0.0000 (0.0005)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3731  data: 0.0099  max mem: 3659\n",
            "Epoch: [37]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0769 (0.1246)  loss_classifier: 0.0646 (0.1030)  loss_box_reg: 0.0119 (0.0205)  loss_objectness: 0.0001 (0.0005)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3993  data: 0.0107  max mem: 3659\n",
            "Epoch: [37]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0753 (0.1238)  loss_classifier: 0.0563 (0.1020)  loss_box_reg: 0.0147 (0.0207)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0003 (0.0007)  time: 0.3621  data: 0.0113  max mem: 3659\n",
            "Epoch: [37]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.0783 (0.1237)  loss_classifier: 0.0496 (0.1021)  loss_box_reg: 0.0159 (0.0205)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3675  data: 0.0110  max mem: 3659\n",
            "Epoch: [37]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.1265 (0.1269)  loss_classifier: 0.1063 (0.1045)  loss_box_reg: 0.0209 (0.0213)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3736  data: 0.0098  max mem: 3659\n",
            "Epoch: [37]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1414 (0.1273)  loss_classifier: 0.1138 (0.1047)  loss_box_reg: 0.0262 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3653  data: 0.0094  max mem: 3659\n",
            "Epoch: [37] Total time: 0:00:58 (0.3700 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0835 (0.0835)  evaluator_time: 0.0038 (0.0038)  time: 0.2228  data: 0.1340  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0732 (0.0751)  evaluator_time: 0.0021 (0.0027)  time: 0.0827  data: 0.0049  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0881 s / it)\n",
            "Averaged stats: model_time: 0.0732 (0.0751)  evaluator_time: 0.0021 (0.0027)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [38]  [  0/159]  eta: 0:01:26  lr: 0.000000  loss: 0.1970 (0.1970)  loss_classifier: 0.1564 (0.1564)  loss_box_reg: 0.0391 (0.0391)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0014 (0.0014)  time: 0.5410  data: 0.1934  max mem: 3659\n",
            "Epoch: [38]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1215 (0.1534)  loss_classifier: 0.0975 (0.1321)  loss_box_reg: 0.0196 (0.0205)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3753  data: 0.0268  max mem: 3659\n",
            "Epoch: [38]  [ 20/159]  eta: 0:00:50  lr: 0.000000  loss: 0.0769 (0.1399)  loss_classifier: 0.0631 (0.1198)  loss_box_reg: 0.0124 (0.0194)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3573  data: 0.0096  max mem: 3659\n",
            "Epoch: [38]  [ 30/159]  eta: 0:00:46  lr: 0.000000  loss: 0.0803 (0.1421)  loss_classifier: 0.0692 (0.1202)  loss_box_reg: 0.0197 (0.0211)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3565  data: 0.0089  max mem: 3659\n",
            "Epoch: [38]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.0882 (0.1347)  loss_classifier: 0.0741 (0.1140)  loss_box_reg: 0.0108 (0.0199)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3761  data: 0.0098  max mem: 3659\n",
            "Epoch: [38]  [ 50/159]  eta: 0:00:39  lr: 0.000000  loss: 0.0882 (0.1420)  loss_classifier: 0.0741 (0.1206)  loss_box_reg: 0.0114 (0.0206)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3680  data: 0.0105  max mem: 3659\n",
            "Epoch: [38]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.1700 (0.1466)  loss_classifier: 0.1461 (0.1238)  loss_box_reg: 0.0205 (0.0218)  loss_objectness: 0.0001 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3594  data: 0.0102  max mem: 3659\n",
            "Epoch: [38]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.1154 (0.1392)  loss_classifier: 0.0899 (0.1173)  loss_box_reg: 0.0201 (0.0209)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3592  data: 0.0101  max mem: 3659\n",
            "Epoch: [38]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.0813 (0.1371)  loss_classifier: 0.0677 (0.1152)  loss_box_reg: 0.0165 (0.0210)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3575  data: 0.0097  max mem: 3659\n",
            "Epoch: [38]  [ 90/159]  eta: 0:00:24  lr: 0.000000  loss: 0.0813 (0.1316)  loss_classifier: 0.0677 (0.1100)  loss_box_reg: 0.0142 (0.0207)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0003 (0.0006)  time: 0.3503  data: 0.0095  max mem: 3659\n",
            "Epoch: [38]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.1046 (0.1340)  loss_classifier: 0.0732 (0.1115)  loss_box_reg: 0.0160 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3565  data: 0.0094  max mem: 3659\n",
            "Epoch: [38]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.1172 (0.1320)  loss_classifier: 0.0988 (0.1098)  loss_box_reg: 0.0193 (0.0212)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3755  data: 0.0102  max mem: 3659\n",
            "Epoch: [38]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0876 (0.1298)  loss_classifier: 0.0710 (0.1079)  loss_box_reg: 0.0134 (0.0208)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0004 (0.0006)  time: 0.3690  data: 0.0106  max mem: 3659\n",
            "Epoch: [38]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.0908 (0.1274)  loss_classifier: 0.0710 (0.1057)  loss_box_reg: 0.0165 (0.0207)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0006)  time: 0.3744  data: 0.0102  max mem: 3659\n",
            "Epoch: [38]  [140/159]  eta: 0:00:06  lr: 0.000000  loss: 0.0910 (0.1255)  loss_classifier: 0.0698 (0.1033)  loss_box_reg: 0.0181 (0.0212)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3602  data: 0.0104  max mem: 3659\n",
            "Epoch: [38]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0997 (0.1262)  loss_classifier: 0.0735 (0.1038)  loss_box_reg: 0.0216 (0.0213)  loss_objectness: 0.0001 (0.0004)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3629  data: 0.0106  max mem: 3659\n",
            "Epoch: [38]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.1037 (0.1269)  loss_classifier: 0.0774 (0.1043)  loss_box_reg: 0.0207 (0.0215)  loss_objectness: 0.0000 (0.0004)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3762  data: 0.0101  max mem: 3659\n",
            "Epoch: [38] Total time: 0:00:58 (0.3651 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:09  model_time: 0.0867 (0.0867)  evaluator_time: 0.0040 (0.0040)  time: 0.2296  data: 0.1373  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0742 (0.0758)  evaluator_time: 0.0024 (0.0029)  time: 0.0844  data: 0.0054  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0898 s / it)\n",
            "Averaged stats: model_time: 0.0742 (0.0758)  evaluator_time: 0.0024 (0.0029)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            "Epoch: [39]  [  0/159]  eta: 0:01:33  lr: 0.000000  loss: 0.0916 (0.0916)  loss_classifier: 0.0613 (0.0613)  loss_box_reg: 0.0299 (0.0299)  loss_objectness: 0.0000 (0.0000)  loss_rpn_box_reg: 0.0004 (0.0004)  time: 0.5865  data: 0.2357  max mem: 3659\n",
            "Epoch: [39]  [ 10/159]  eta: 0:00:55  lr: 0.000000  loss: 0.1224 (0.1291)  loss_classifier: 0.1029 (0.1050)  loss_box_reg: 0.0268 (0.0231)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0008)  time: 0.3695  data: 0.0295  max mem: 3659\n",
            "Epoch: [39]  [ 20/159]  eta: 0:00:50  lr: 0.000000  loss: 0.1213 (0.1219)  loss_classifier: 0.0823 (0.0994)  loss_box_reg: 0.0177 (0.0217)  loss_objectness: 0.0001 (0.0001)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3531  data: 0.0092  max mem: 3659\n",
            "Epoch: [39]  [ 30/159]  eta: 0:00:48  lr: 0.000000  loss: 0.1031 (0.1265)  loss_classifier: 0.0825 (0.1014)  loss_box_reg: 0.0177 (0.0243)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3742  data: 0.0099  max mem: 3659\n",
            "Epoch: [39]  [ 40/159]  eta: 0:00:44  lr: 0.000000  loss: 0.1206 (0.1278)  loss_classifier: 0.0964 (0.1032)  loss_box_reg: 0.0197 (0.0238)  loss_objectness: 0.0000 (0.0001)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3832  data: 0.0106  max mem: 3659\n",
            "Epoch: [39]  [ 50/159]  eta: 0:00:40  lr: 0.000000  loss: 0.0988 (0.1275)  loss_classifier: 0.0864 (0.1036)  loss_box_reg: 0.0198 (0.0229)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3675  data: 0.0103  max mem: 3659\n",
            "Epoch: [39]  [ 60/159]  eta: 0:00:36  lr: 0.000000  loss: 0.0758 (0.1233)  loss_classifier: 0.0662 (0.0994)  loss_box_reg: 0.0193 (0.0231)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3590  data: 0.0096  max mem: 3659\n",
            "Epoch: [39]  [ 70/159]  eta: 0:00:32  lr: 0.000000  loss: 0.0754 (0.1243)  loss_classifier: 0.0606 (0.1005)  loss_box_reg: 0.0163 (0.0229)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3675  data: 0.0096  max mem: 3659\n",
            "Epoch: [39]  [ 80/159]  eta: 0:00:28  lr: 0.000000  loss: 0.0933 (0.1268)  loss_classifier: 0.0765 (0.1031)  loss_box_reg: 0.0189 (0.0228)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3604  data: 0.0102  max mem: 3659\n",
            "Epoch: [39]  [ 90/159]  eta: 0:00:25  lr: 0.000000  loss: 0.0776 (0.1235)  loss_classifier: 0.0653 (0.1008)  loss_box_reg: 0.0164 (0.0218)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3591  data: 0.0107  max mem: 3659\n",
            "Epoch: [39]  [100/159]  eta: 0:00:21  lr: 0.000000  loss: 0.0776 (0.1304)  loss_classifier: 0.0653 (0.1076)  loss_box_reg: 0.0154 (0.0219)  loss_objectness: 0.0001 (0.0002)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3594  data: 0.0102  max mem: 3659\n",
            "Epoch: [39]  [110/159]  eta: 0:00:17  lr: 0.000000  loss: 0.0916 (0.1271)  loss_classifier: 0.0788 (0.1043)  loss_box_reg: 0.0140 (0.0218)  loss_objectness: 0.0000 (0.0002)  loss_rpn_box_reg: 0.0007 (0.0007)  time: 0.3595  data: 0.0095  max mem: 3659\n",
            "Epoch: [39]  [120/159]  eta: 0:00:14  lr: 0.000000  loss: 0.0970 (0.1281)  loss_classifier: 0.0822 (0.1057)  loss_box_reg: 0.0151 (0.0216)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3830  data: 0.0097  max mem: 3659\n",
            "Epoch: [39]  [130/159]  eta: 0:00:10  lr: 0.000000  loss: 0.1196 (0.1286)  loss_classifier: 0.1007 (0.1058)  loss_box_reg: 0.0170 (0.0219)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0004 (0.0007)  time: 0.3851  data: 0.0101  max mem: 3659\n",
            "Epoch: [39]  [140/159]  eta: 0:00:07  lr: 0.000000  loss: 0.1048 (0.1292)  loss_classifier: 0.0781 (0.1062)  loss_box_reg: 0.0178 (0.0220)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0005 (0.0007)  time: 0.3782  data: 0.0108  max mem: 3659\n",
            "Epoch: [39]  [150/159]  eta: 0:00:03  lr: 0.000000  loss: 0.0749 (0.1269)  loss_classifier: 0.0639 (0.1045)  loss_box_reg: 0.0116 (0.0215)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3612  data: 0.0106  max mem: 3659\n",
            "Epoch: [39]  [158/159]  eta: 0:00:00  lr: 0.000000  loss: 0.0788 (0.1285)  loss_classifier: 0.0668 (0.1059)  loss_box_reg: 0.0118 (0.0217)  loss_objectness: 0.0000 (0.0003)  loss_rpn_box_reg: 0.0006 (0.0007)  time: 0.3440  data: 0.0096  max mem: 3659\n",
            "Epoch: [39] Total time: 0:00:58 (0.3670 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [ 0/40]  eta: 0:00:08  model_time: 0.0868 (0.0868)  evaluator_time: 0.0037 (0.0037)  time: 0.2185  data: 0.1263  max mem: 3659\n",
            "Test:  [39/40]  eta: 0:00:00  model_time: 0.0733 (0.0753)  evaluator_time: 0.0021 (0.0026)  time: 0.0824  data: 0.0046  max mem: 3659\n",
            "Test: Total time: 0:00:03 (0.0879 s / it)\n",
            "Averaged stats: model_time: 0.0733 (0.0753)  evaluator_time: 0.0021 (0.0026)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.02s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oUZs3JuzYDZX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "7fc5489e-6032-4137-b5cb-4ebef4d1ea89"
      },
      "source": [
        "from google.colab import files\n",
        "files.download(output_dir + \"/model\")"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_89da09e8-b2c0-4b87-88c9-aa3f6ae9bed1\", \"model\", 165814926)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}